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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mater.</journal-id>
<journal-title>Frontiers in Materials</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mater.</abbrev-journal-title>
<issn pub-type="epub">2296-8016</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1616537</article-id>
<article-id pub-id-type="doi">10.3389/fmats.2025.1616537</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Materials</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Interface stress control mechanism of engineering plastic gaskets during the low-amplitude and long-pulse-width dynamic loading process</article-title>
<alt-title alt-title-type="left-running-head">Xu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmats.2025.1616537">10.3389/fmats.2025.1616537</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Feng</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3040490/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Jianwei</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Men</surname>
<given-names>Jianbin</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Shuyou</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Mei</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
</contrib-group>
<aff>
<institution>State Key Laboratory of Explosion Science and Safety Protection</institution>, <institution>Beijing Institute of Technology</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1477401/overview">Erkan Oterkus</ext-link>, University of Strathclyde, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1524549/overview">Mehmet Eker</ext-link>, Tarsus University, T&#xfc;rkiye</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2529179/overview">Congjie Wei</ext-link>, Texas A and M University, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Feng Xu, <email>3220215039@bit.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1616537</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Xu, Jiang, Men, Wang and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Xu, Jiang, Men, Wang and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Impact and protection are hot topics of concern in modern military and civilian fields. However, existing research focuses more on high-speed, high-frequency impact, explosion, and other loading conditions, while studies on the protective mechanisms and stress-deformation processes of materials during long-pulse-width and low-amplitude dynamic impact processes are relatively limited. This work investigates the interfacial stress control mechanism of engineering plastic gaskets on protected components under long-pulse-width loading, and employs the finite element method (FEM) to simulate the impact protection processes of gaskets with different material parameters. The influence of gasket material parameters on the interface protection effects for protected vulnerable components was obtained, and the relevant protective mechanisms were revealed. The surface fitting method was used to optimize the performance parameters of protective materials, and the impact protection effect of optimized gaskets under simulated launch loading was verified through large-scale drop hammer tests. Key findings include: (1) Under long-pulse, low-amplitude dynamic loading, the Von Mises stress distribution on impact surfaces of vulnerable components correlates with the anisotropic deformation capacity of protective materials; (2) Controlling the variation and coupling of triaxial stresses at the interface between protective materials and vulnerable components is critical for achieving protection; (3) Engineering plastic protective materials with moderate de-formation capabilities demonstrate superior effects in improving interface stress distribution of typical composite vulnerable components. The research outcomes provide important references for impact protection design under long-pulse dynamic loading process.</p>
</abstract>
<kwd-group>
<kwd>long-pulse-width dynamic loading</kwd>
<kwd>interface impact protection</kwd>
<kwd>engineering plastics</kwd>
<kwd>finite element method</kwd>
<kwd>simulated impact test</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Mechanics of Materials</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Impact and protection have emerged as critical concerns in modern military and civilian applications. Although research on protective materials has expanded from conventional engineering materials (e.g., polycarbonate, polyethylene, polyurethane elastomers, soft rubber) to composite and structural materials such as fiber-reinforced materials, surface-engineered materials, sandwich materials, gradient materials, and biomimetic materials. Compared with composite and structural materials, traditional engineering protective materials offer the advantages of mature processing technologies, stable mechanical-thermal-chemical properties, and superior cost-effectiveness ratio. These properties make them widely used in military and civilian products.</p>
<p>Nowadays, certain efforts devoted to conventional impact protection research predominantly focus on the safety and protection of critical vulnerable components under high-amplitude, high-frequency impact and explosive loading conditions. For instance, Mohammad (<xref ref-type="bibr" rid="B23">Mohammad and Mohammadzadeh Gonabadi, 2019</xref>) employed small-scale drop hammer tests to evaluate the impact resistance of aluminum foam materials, concluding that aluminum foam is suitable as an impact energy-absorbing material. In low-velocity impact tests, <xref ref-type="bibr" rid="B22">Liu Y. R. et al. (2024)</xref> found that artificial cartilage materials provide effective cushioning and energy absorption capabilities, which significantly reducing surface stress on aluminum alloys. Furthermore, <xref ref-type="bibr" rid="B29">Sun et al. (2025)</xref> conducted high-velocity ballistic impact tests on biomimetic borosilicate glass composites. The results reveal that structural modifications enhance energy dissipation during impact events, thereby improving the protective performance of materials. Similarly, such efforts are reflected in current impact protection research within the military munitions field. For instance, in studies concerning projectile-target plate impact protection: <xref ref-type="bibr" rid="B16">Li et al. (2021)</xref> discovered that the stress attenuation capacity of gasket materials is the main factor in determining their protective performance, by compared the impact protection capabilities of different gasket materials using finite element method. However, <xref ref-type="bibr" rid="B17">Li et al. (2017)</xref> found the impact protection characteristics of gasket materials are controlled by stress attenuation and dispersion effects, as evidenced by numerical simulations conducted using finite element method. <xref ref-type="bibr" rid="B19">Liang et al. (2020)</xref> combined theoretical and experimental methods to analyze projectile penetration processes, demonstrating that foam aluminum-filled thin-walled metal liners effectively reduce impact overload through energy absorption mechanisms. Thus, the dominant factors determining impact protection efficacy remain controversial under identical impact loading conditions due to variations in loading characteristics and protective material properties. Whether in military or civilian applications, it is essential to explore the impact of protective mechanisms and stress-deformation processes on the efficacy of impact protection.</p>
<p>As a distinct form of impact loading, projectiles load launched by artillery exhibit launch overload peaks compared with projectile-target impact loading. These peaks typically range from several thousand to over ten thousand g, with pulse durations of approximately 10 milliseconds. However, projectile-target impacts generate overload magnitudes of tens of thousands of g, characterized by pulse widths spanning several to tens of micro-seconds (<xref ref-type="bibr" rid="B13">Jia et al., 2023</xref>; <xref ref-type="bibr" rid="B4">apps.dtic.mil, 2025</xref>). Therefore, compared to the projectile-target impact process, the impact during projectile launch constitutes a typical low-amplitude, long-pulse-duration dynamic loading. Under such loading conditions, the motion characteristics of projectile-borne components resemble mechanical vibrations under high accelerations. However, there is currently no research on the protective effects of common engineering gasket materials on vulnerable components under projectile launch loading.</p>
<p>Based on this, this work employs the finite element method to establish simplified models and calculate the impact protection process of traditional energetic composite gaskets under low-amplitude, long-pulse-duration dynamic loading. The influence of gasket material parameters on the surface/interface protection of vulnerable components is investigated, with the axial loading of projectile launch as the typical external load. Further mechanistic studies identify that the relevant protection mechanisms and optimal material ranges. Finally, experimental verification is conducted with selected typical engineering plastic gaskets.</p>
</sec>
<sec id="s2">
<title>2 Finite element simulation model and verification</title>
<p>Existing formulas can be used to calculate the axial stress <italic>&#x3c3;</italic>
<sub>z</sub> at the impact interface of protected vulnerable components under launch overload, but the stress distribution cannot be determined. Therefore, this article explores the role of gaskets based on numerical simulation methods and verifies the effectiveness of the simulation calculation model using classical theoretical formulas.</p>
<sec id="s2-1">
<title>2.1 Finite element model</title>
<p>In the internal ballistic simulation, this study rationally simplifies the projectile structural calculation model, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The simplified model consists of the protected vulnerable component, the gasket bonded to its base, and the simplified projectile casing structure. In this model, <italic>D</italic>
<sub>m</sub> denotes the projectile diameter, <italic>D</italic> represents the diameter of both the vulnerable component and gasket, <italic>L</italic>
<sub>e</sub> is the vulnerable component length, <italic>H</italic>
<sub>p</sub> is the gasket thickness, and <italic>H</italic>
<sub>M</sub> the equivalent thickness at the projectile casing base. A gap of 0.02%<italic>D</italic> is configured between the vulnerable component and circumferential projectile casing to simulate actual assembly clearances. During launch simulation, pressure load is applied to the projectile casing base, inducing impact loading throughout the entire model.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Simplified model of charge structure with gasket.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g001.tif">
<alt-text content-type="machine-generated">Cross-sectional diagram of a cylindrical object. The red area represents protected components, with a simplified blue shell and a green bottom gasket. Dimensions labeled as \(D_p\), \(D\), \(L_e\), \(H_p\), and \(H_M\). Arrows point to pressure applied externally.</alt-text>
</graphic>
</fig>
<p>The TRUE GRID software was employed to establish the corresponding finite element model, as illustrated in <xref ref-type="fig" rid="F2">Figure 2</xref>. The computational structure utilizes an axisymmetric model, with a two-dimensional axisymmetric approach adopted to optimize computational efficiency. To maintain consistency with the dimensions of vulnerable component in the experimental action and to amplify the influence of different gasket materials for enhanced differentiation of the result, the finite element model incorporates specific dimensional parameters: a vulnerable component size of <italic>D</italic> &#x3d; 40 mm and <italic>L</italic>
<sub>e</sub> &#x3d; 40 mm, and a significantly thick gasket layer of <italic>H</italic>
<sub>p</sub> &#x3d; 10 mm.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Two-dimensional finite element model.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g002.tif">
<alt-text content-type="machine-generated">Diagram with three color-coded sections: red, green, and blue. Yellow circles indicate observation points along common nodes. Arrows show acceleration direction and axis of symmetry. An inset graph depicts acceleration versus time, forming a triangle with peak acceleration at five milliseconds.</alt-text>
</graphic>
</fig>
<p>All external surfaces of the components are designed as free collision boundaries, and symmetric constraints are imposed on the symmetry plane. In actual physical assembly relationships, the adhesive is used to tightly fit vulnerable components and gaskets. This bonding fit is not easily damaged under axial stress load, resulting in synchronous deformation of vulnerable components and gaskets at the bonding interface. Therefore, shared nodes are used between vulnerable components and gaskets in the finite element calculation of this article to simulate the bonding surface of the actual interface. Meanwhile, the load width is usually 6&#x2013;13 m according to the load characteristics during the firing process of artillery projectile. The input load waveform is set as a triangular wave, as shown in <xref ref-type="fig" rid="F2">Figure 2</xref>, to simulate the chamber pressure overload with a load time of 10 m. To facilitate the collection and statistical analysis of data, establish 20 observation points along the bottom interface of the vulnerable component, arranged sequentially from the axis of symmetry outwards (i.e., the center of the bottom surface of the vulnerable component is the first observation point and the outer edges are the 20 the observation points).</p>
</sec>
<sec id="s2-2">
<title>2.2 Material constitutive model and parameters</title>
<sec id="s2-2-1">
<title>2.2.1 The constitutive model of gasket material</title>
<p>Considering strain rate effects and deformation magnitude, the gasket material adopts a kinematic hardening combined elastic-plastic constitutive model in the calculation. As the present computational analysis covers a relatively broad range of material parameters, this section provides the parameter ranges of the material model used in the calculations, as listed in <xref ref-type="table" rid="T1">Table 1</xref>. The specific elastic modulus <italic>E</italic> and Poisson&#x2019;s ratio <italic>&#x3bc;</italic> adopted in the actual computations will be specified in subsequent sections. Additionally, the influence of gasket material density (<italic>&#x3c1;</italic>) on calculation results is negligible, as demonstrated by theoretical formulas and simulation results in <xref ref-type="sec" rid="s2-3">Section 2.3</xref>. Therefore, except for the three typical materials specified in <xref ref-type="sec" rid="s2-3">Section 2.3</xref> for model validation, all other calculations use a fixed density of 1.5 g/cm<sup>3</sup>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Parameter range of gasket materials.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">
<italic>&#x3c1;</italic>(g/cm<sup>3</sup>)</th>
<th align="center">
<italic>E</italic> (MPa)</th>
<th align="center">
<italic>&#x3bc;</italic>
</th>
<th align="center">
<italic>&#x3c3;</italic>
<sub>0</sub> (GPa)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1.5</td>
<td align="center">20-3 &#xd7; 10<sup>5</sup>
</td>
<td align="center">0.3&#x2013;0.49</td>
<td align="center">1.0</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2-2">
<title>2.2.2 The constitutive model of shell</title>
<p>In the present computational analysis, the shell material is specified as steel. Based on the same considerations, the constitutive model employed for the shell material in the calculations is tabulated in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Steel material parameter.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">
<italic>&#x3c1;</italic>(g/cm<sup>3</sup>)</th>
<th align="center">
<italic>E</italic> (MPa)</th>
<th align="center">
<italic>&#x3bc;</italic>
</th>
<th align="center">
<italic>&#x3c3;</italic>
<sub>0</sub> (GPa)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">7.85</td>
<td align="center">210 &#xd7; 10<sup>3</sup>
</td>
<td align="center">0.27</td>
<td align="center">1.4</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2-3">
<title>2.2.3 The constitutive model of protected component</title>
<p>Considering the requirements for facilitate experimental validation in <xref ref-type="sec" rid="s4-2">Section 4.2</xref> and the operational status of actual projectile-borne vulnerable components, this study configures the vulnerable components with typical projectile-borne energetic composite material. This material is characterized by a generalized Maxwell viscoelastic constitutive model, as shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Generalized Maxwell constitutive model.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g003.tif">
<alt-text content-type="machine-generated">Diagram of a modular circuit with three sequential components labeled \(G(1)\), \(G(2)\), \(G(3)\), and \(G(k)\) connected in parallel. Each component is paired with a corresponding label \(&#x3C4;(1)\), \(&#x3C4;(2)\), \(&#x3C4;(3)\), and \(&#x3C4;(k)\). An output labeled \(e_{ij}^{ve}\) is shown on the right.</alt-text>
</graphic>
</fig>
<p>The generalized Maxwell visco-elastic model consists of K visco-elastic elements. The relationship between deviatoric strain and deviatoric stress of visco-elastic elements as <xref ref-type="disp-formula" rid="e1">Equation 1</xref>.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">S</mml:mi>
<mml:mrow>
<mml:mi mathvariant="bold-italic">i</mml:mi>
<mml:mi mathvariant="bold-italic">j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">t</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mn mathvariant="bold">0</mml:mn>
<mml:mi mathvariant="bold-italic">t</mml:mi>
</mml:msubsup>
<mml:mn mathvariant="bold">2</mml:mn>
<mml:msup>
<mml:mi mathvariant="bold-italic">G</mml:mi>
<mml:mo>&#x2a;</mml:mo>
</mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi mathvariant="bold-italic">&#x3b6;</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:msubsup>
<mml:mover accent="true">
<mml:mi mathvariant="bold-italic">e</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi mathvariant="bold-italic">i</mml:mi>
<mml:mi mathvariant="bold-italic">j</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">v</mml:mi>
<mml:mi mathvariant="bold-italic">e</mml:mi>
</mml:mrow>
</mml:msubsup>
<mml:mi mathvariant="bold-italic">d</mml:mi>
<mml:mi mathvariant="bold-italic">&#x3b6;</mml:mi>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="bold-italic">G</mml:mi>
<mml:mo>&#x2a;</mml:mo>
</mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">t</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mi mathvariant="bold-italic">G</mml:mi>
<mml:mi mathvariant="bold-italic">&#x221e;</mml:mi>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi mathvariant="bold-italic">k</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn mathvariant="bold">1</mml:mn>
</mml:mrow>
<mml:mi mathvariant="bold-italic">N</mml:mi>
</mml:munderover>
</mml:mstyle>
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="bold-italic">G</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">k</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:msup>
<mml:mo>&#x2061;</mml:mo>
<mml:mi mathvariant="bold">exp</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi mathvariant="bold-italic">t</mml:mi>
</mml:mrow>
<mml:msup>
<mml:mi mathvariant="bold-italic">&#x3c4;</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">k</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:msup>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>In <xref ref-type="disp-formula" rid="e2">Equation 2</xref>, <italic>G</italic>
<sup>(k)</sup> and <italic>&#x3c4;</italic>
<sup>(k)</sup> represent the shear modulus and relaxation time of the <italic>K</italic>th Maxwell body, respectively; <inline-formula id="inf1">
<mml:math id="m3">
<mml:mrow>
<mml:msup>
<mml:mi>G</mml:mi>
<mml:mi>&#x221e;</mml:mi>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula> is the shear modulus at infinite relaxation time.</p>
<p>In the finite element computations, analogous formulation mechanical parameters are employed as substitutes, as tabulated in <xref ref-type="table" rid="T3">Table 3</xref>. This generalized Maxwell viscoelastic constitutive model for the vulnerable composite materials is implemented in the ANSYS/LS-DYNA explicit dynamics solver for computational analysis via secondary development methodology.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Vulnerable composite material parameters based on the generalized Maxwell viscoelastic constitutive model (<xref ref-type="bibr" rid="B21">Liu W. et al., 2024</xref>; <xref ref-type="bibr" rid="B34">Zhang et al., 2016</xref>).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">
<italic>G</italic>
<sub>1</sub> (MPa)</th>
<th align="center">
<italic>G</italic>
<sub>2</sub> (MPa)</th>
<th align="center">
<italic>G</italic>
<sub>3</sub> (MPa)</th>
<th align="center">
<italic>G</italic>
<sub>4</sub> (MPa)</th>
<th align="center">
<italic>G</italic>
<sub>5</sub> (MPa)</th>
<th align="center">1/<italic>&#x3c4;</italic>
<sub>1</sub> (s<sup>-1</sup>)</th>
<th align="center">1/<italic>&#x3c4;</italic>
<sub>2</sub> (s<sup>-1</sup>)</th>
<th align="center">1/<italic>&#x3c4;</italic>
<sub>3</sub> (s<sup>-1</sup>)</th>
<th align="center">1/<italic>&#x3c4;</italic>
<sub>4</sub> (s<sup>-1</sup>)</th>
<th align="center">1/<italic>&#x3c4;</italic>
<sub>5</sub> (s<sup>-1</sup>)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">944.0</td>
<td align="center">173.8</td>
<td align="center">521.2</td>
<td align="center">908.5</td>
<td align="center">687.5</td>
<td align="center">0</td>
<td align="center">7.32 &#xd7; 10<sup>3</sup>
</td>
<td align="center">7.32 &#xd7; 10<sup>4</sup>
</td>
<td align="center">7.32 &#xd7; 10<sup>5</sup>
</td>
<td align="center">2 &#xd7; 10<sup>6</sup>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s2-3">
<title>2.3 Meshing sensitivity analysis</title>
<p>Analyze the meshing sensitivity for a gasket with an elastic modulus of <italic>E</italic> &#x3d; 800 MPa and a Poisson&#x2019;s ratio of <italic>&#x3bc;</italic> &#x3d; 0.4. The mesh element type is quadrilateral shell element mesh. And the calculate results of meshing sensitivity are shown in <xref ref-type="fig" rid="F4">Figure 4</xref>. The X-axis represents the number of grids per millimeter, and the Y-axis represents the maximum Von Mises stress at the bottom layer of protected component. The grid density of 1 grid per millimeter is sufficient to ensure computational accuracy while maximizing computational efficiency. Therefore, the final model was determined to comprise 1880 nodes and 1720 elements.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Calculate results of meshing sensitivity.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g004.tif">
<alt-text content-type="machine-generated">Line graph showing the relationship between the number of grids per millimeter and maximum stress (&#x3C3;max) in megapascals (MPa). Data points are plotted at intervals of 0.5, 1.0, 2.0, and 3.0 grids per millimeter, with corresponding &#x3C3;max values of approximately 2.95, 3.1, and slightly increasing thereafter.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-4">
<title>2.4 Finite element model validation and comparison</title>
<p>Common gasket materials used in engineering include metal, high-molecular engineering plastics, and flexible materials, etc. This article selects steel, low-density polyethylene, and soft rubber as representatives of three different types of materials. These three materials are utilized for model validation and comparative analysis to produce typical calculation results. The parameter values of the three gasket materials are shown in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Typical gasket material parameters for model validation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Working condition</th>
<th align="center">Material</th>
<th align="center">
<italic>&#x3c1;</italic>(g/cm<sup>3</sup>)</th>
<th align="center">
<italic>E</italic> (MPa)</th>
<th align="center">
<italic>&#x3bc;</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">Steel</td>
<td align="center">7.85</td>
<td align="center">2.1 &#xd7; 10<sup>5</sup>
</td>
<td align="center">0.27</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Low-density polyethylene</td>
<td align="center">0.95</td>
<td align="center">7.22 &#xd7; 10<sup>2</sup>
</td>
<td align="center">0.4</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Soft rubber</td>
<td align="center">1.15</td>
<td align="center">20</td>
<td align="center">0.475</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s2-4-1">
<title>2.4.1 Finite element model validation</title>
<p>According to classical theory, under axial high-g loading the axial stress in the bottom layer of the protected vulnerable component is (<xref ref-type="bibr" rid="B10">Huang, 2014</xref>):<disp-formula id="e3">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold">z</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn mathvariant="bold">4</mml:mn>
<mml:msub>
<mml:mi mathvariant="bold-italic">F</mml:mi>
<mml:mi mathvariant="bold">z</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">&#x3c0;</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mrow>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mn mathvariant="bold">0</mml:mn>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn mathvariant="bold">4</mml:mn>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mi mathvariant="bold-italic">m</mml:mi>
</mml:mrow>
<mml:mi mathvariant="bold">e</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">&#x3c0;</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mrow>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mn mathvariant="bold">0</mml:mn>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mi mathvariant="bold">p</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
<mml:msub>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">P</mml:mi>
<mml:mi mathvariant="bold">m</mml:mi>
</mml:msub>
<mml:mi mathvariant="bold-italic">m</mml:mi>
</mml:mrow>
<mml:mi mathvariant="bold">e</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">M</mml:mi>
<mml:mi mathvariant="bold">p</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mrow>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mn mathvariant="bold">0</mml:mn>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mi mathvariant="bold-italic">n</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>Where, &#x201c;<italic>F</italic>
<sub>z</sub>&#x201d; is the axial force on the bottom surface of the vulnerable component. &#x201c;<italic>a</italic>&#x201d; represents the acceleration of the entire projectile system. &#x201c;<italic>m</italic>
<sub>e</sub>&#x201d; denotes the mass of the vulnerable component. &#x201c;<italic>M</italic>
<sub>p</sub>&#x201d; indicates the projectile mass. &#x201c;<italic>P</italic>
<sub>m</sub>&#x201d; refers to the single-shot maximum chamber pressure. &#x201c;<italic>D</italic>
<sub>p</sub>&#x201d; represents the projectile diameter. &#x201c;<italic>D</italic>
<sub>n</sub>&#x201d; is the outermost diameter of the vulnerable component (in this paper, taken as the vulnerable component diameter <italic>D</italic>). &#x201c;<italic>D</italic>
<sub>n0</sub>&#x201d; indicates the innermost diameter of the vulnerable component (in this paper, taken as 0).</p>
<p>Since the calculation result of <xref ref-type="disp-formula" rid="e3">Equation 3</xref> represents the average axial stress on the bottom surface of the vulnerable component, this article collects data from 20 uniformly distributed stress monitoring points on the bottom surface of the vulnerable component under three typical simulation conditions. It calculates the average axial stress and compares it with the theoretical calculation results of <xref ref-type="disp-formula" rid="e3">Equation 3</xref>, as shown in <xref ref-type="table" rid="T5">Table 5</xref>. The calculation results indicate that the maximum percentage error between the finite element simulation results and the theoretical prediction results in this article are less than 0.8%. This proves that the simulation model is accurate and effective.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Comparison between simulated and theoretical axial stress results under typical working conditions.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Working condition</th>
<th align="center">Simulation result (MPa)</th>
<th align="center">Theoretical result (MPa)</th>
<th align="center">Percentage error (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">&#x2212;3.762</td>
<td rowspan="3" align="center">&#x2212;3.783</td>
<td align="center">0.56</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">&#x2212;3.757</td>
<td align="center">0.69</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">&#x2212;3.813</td>
<td align="center">0.79</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-4-2">
<title>2.4.2 Comparison of simulation outcomes for typical working conditions</title>
<p>Obtain axial stress data from 20 observation points on the bottom surface of the vulnerable component under three typical simulation conditions, as shown in <xref ref-type="fig" rid="F5">Figure 5</xref>.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Axial stress-time curves of the bottom layer of the vulnerable component under three typical operating conditions. <bold>(a)</bold> Steel; <bold>(b)</bold> Low-density polyethylene; <bold>(c)</bold> Soft rubber.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g005.tif">
<alt-text content-type="machine-generated">Three graphs display stress over time with insets zooming into specific areas. Graph (a) shows a symmetrical V-shape with a highlighted section around 5 milliseconds. Graph (b) is similar but less steep, focused between 4 and 5.5 milliseconds. Graph (c) features a downward curve with varying lines. A legend on the right distinguishes twenty points by color.</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F5">Figure 5</xref>, different bottom gasket materials not only affect the magnitude of the bottom layer stress of the vulnerable component, but also affect the axial stress distribution and temporal variation at various monitoring points on the bottom layer of the vulnerable component. More importantly, comparing the stress oscillations in <xref ref-type="fig" rid="F5">Figures 5b,c</xref>, it is found that the compression and release of the gasket interferes with the vibration of the underlying stress of the vulnerable component under impact. This interference results increases in the peak stress of the bottom layer of the vulnerable component. And this effect occurs for gasket materials with better elasticity when overloaded during launch. Therefore, the protection of the vulnerable composite material component by the gasket under the launch load is not achieved through &#x201c;buffering,&#x201d; &#x201c;attenuation&#x201d; or similar effects.</p>
<p>The <xref ref-type="fig" rid="F6">Figures 6a,b</xref> show the Von Mises stress and axial stress contour charts at the moment of maximum stress in the bottom layer of the vulnerable component under three different working conditions.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Contour chart of stress peak moment under typical working conditions. <bold>(a)</bold> Von Mises stress; <bold>(b)</bold> Axial stress.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g006.tif">
<alt-text content-type="machine-generated">Heatmap comparison of effective stress and Z-stress. Image (a) shows effective stress with a gradient from dark blue (low stress) to red (high stress). Image (b) displays Z-stress with a gradient from dark blue (low stress) to red (high stress). Color bars indicate stress values in both images.</alt-text>
</graphic>
</fig>
<p>The calculation results indicate that the value and distribution of stress in the bottom layer of the vulnerable component vary among three distinct gasket conditions under the same load. Additionally, it is necessary to distinguish and describe different stresses, such as Von Mises stress and axial stress. Therefore, for the convenience of discussion, all stresses mentioned in this article refer to the corresponding values at the moment of maximum stress occurrence. The parameters are introduced such as(<italic>&#x3c3;</italic>)<sub>i</sub> and <italic>&#x3c3;</italic>
<sub>max</sub>, and their definitions are provided in <xref ref-type="table" rid="T6">Table 6</xref>. During the discussion, subscripts are added to parameter (z for axial stress, r for radial stress, and &#x3c4; for circumferential stress), whereas Von Mises stress does not have subscript.</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Definitions of parameters for stress distribution.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Parameter</th>
<th align="center">Definition</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">(<italic>&#x3c3;</italic>)<sub>i</sub>
</td>
<td align="left">The peak stress recorded at the <italic>i</italic>-th observation point</td>
</tr>
<tr>
<td align="center">
<italic>&#x3c3;</italic>
<sub>max</sub>
</td>
<td align="left">Maximum stress: <inline-formula id="inf2">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>max</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>max</mml:mi>
<mml:mrow>
<mml:mfenced open="{" close="}" separators="|">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="center">
<inline-formula id="inf3">
<mml:math id="m6">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Average stress: <inline-formula id="inf4">
<mml:math id="m7">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mo>&#x3d;</mml:mo>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mn>20</mml:mn>
</mml:munderover>
</mml:mstyle>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, <italic>A</italic>
<sub>i</sub> is the area of the circular ring contained in the <italic>i</italic>-th monitoring element</td>
</tr>
<tr>
<td align="center">
<italic>&#x3d5;</italic>
<sub>max</sub>
</td>
<td align="left">Maximum stress concentration value: <inline-formula id="inf5">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3d5;</mml:mi>
<mml:mi>max</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>max</mml:mi>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:mover accent="true">
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The relationship between the peak stress values and distribution positions of (<italic>&#x3c3;</italic>
<sub>z</sub>)<sub>i</sub> and (<italic>&#x3c3;</italic>)<sub>i</sub> at each monitoring point under three typical working conditions is shown in <xref ref-type="fig" rid="F7">Figures 7a,b</xref>, respectively.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Stress distribution in the bottom layer of the vulnerable component under typical working conditions. <bold>(a)</bold> (<italic>&#x3c3;</italic>
<sub>z</sub>)<sub>i</sub> distribution; <bold>(b)</bold> (<italic>&#x3c3;</italic>)<sub>i</sub> distribution.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g007.tif">
<alt-text content-type="machine-generated">Two graphs compare stress values (in MPa) for three operating modes at observation points. Chart (a) shows negative stress ranging from -3 to -4 MPa, while chart (b) shows increasing positive stress, peaking above 12 MPa. Modes are differentiated by squares, circles, and triangles. Both graphs show stress variations across twenty observation points, highlighting performance differences in operating modes.</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F7">Figure 7a</xref>, the (<italic>&#x3c3;</italic>
<sub>z</sub>)<sub>i</sub> distribution at the center of the vulnerable component&#x2019;s bottom surface remains relatively consistent across the three working conditions. However, notable differences emerge in (<italic>&#x3c3;</italic>)<sub>i</sub> at the outer edge, primarily due to local stress concentration effects resulting from the deformation of the vulnerable component under stress. This deformation also significantly impacts (<italic>&#x3c3;</italic>)<sub>i</sub> on the bottom surface of the vulnerable component. As shown in <xref ref-type="fig" rid="F7">Figure 7b</xref>, (<italic>&#x3c3;</italic>)<sub>i</sub> in the central area of the bottom surface of the vulnerable component is consistently low across all three working conditions. In contrast, (<italic>&#x3c3;</italic>)<sub>i</sub> on the outer edge is generally higher. Among them, (<italic>&#x3c3;</italic>)<sub>i</sub> in working condition 3 is consistently higher than that in working conditions 1 and 2. Although (<italic>&#x3c3;</italic>)<sub>i</sub> under condition 1 is generally lower than that under condition 2, the peak value on the outer side is higher.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<title>3 Simulation calculation and analysis</title>
<p>Further analyze the influence of <italic>E</italic> and <italic>&#x3bc;</italic> of the gasket material on the stress distribution on the bottom surface of the vulnerable component to reveal the underlying mechanism and provide guidance for optimal material selection. This article conducts numerical simulations across 6 groups, totaling 90 working conditions. In the specific calculation conditions, <italic>&#x3bc;</italic> is taken as 0.25, 0.3, 0.35, 0.4, 0.45, and 0.49, respectively. At the same time, 15 <italic>E</italic> values (20, 50, 100, 300, 500, 800, 1,000, 2000, 3,000, 5,000, 1 &#xd7; 10<sup>4</sup>, 3 &#xd7; 10<sup>4</sup>, 5 &#xd7; 10<sup>4</sup>, 1 &#xd7; 10<sup>5</sup> and 3 &#xd7; 10<sup>5</sup> MPa) are taken for each <italic>&#x3bc;</italic>. The overall range of parameter values covers the vast majority of commonly used engineering materials.</p>
<sec id="s3-1">
<title>3.1 Finite element calculation results</title>
<p>
<xref ref-type="fig" rid="F8">Figures 8</xref>, <xref ref-type="fig" rid="F9">9</xref> respectively show the variation of the maximum stress and average stress of the bottom layer of the vulnerable component with material parameters. For <italic>&#x3c3;</italic>
<sub>z</sub>, since its sign only indicates the direction, its absolute value is taken here.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>The influence of material parameters on maximum stress. <bold>(a)</bold> <italic>&#x3c3;</italic>
<sub>z-max</sub>; <bold>(b)</bold> <italic>&#x3c3;</italic>
<sub>max</sub>.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g008.tif">
<alt-text content-type="machine-generated">Two line graphs labeled (a) and (b) show the relationship between modulus of elasticity (E in MPa) and maximum stress \((\sigma_{z,\max}\) or \(\sigma_{\max}\) in MPa) for different Poisson's ratios (&#x3BC; values ranging from 0.25 to 0.49). Both graphs depict a U-shaped trend, with values decreasing and then increasing. The legend on each graph matches colored markers to specific &#x3BC; values.</alt-text>
</graphic>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>The influence of material parameters on average stress. <bold>(a)</bold> <inline-formula id="inf6">
<mml:math id="m9">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>
<sub>z</sub>; <bold>(b)</bold> <inline-formula id="inf7">
<mml:math id="m10">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g009.tif">
<alt-text content-type="machine-generated">Two graphs compare stress versus modulus with varying Poisson's ratios. Graph (a) shows constant stress over modulus values from ten to one hundred thousand megapascals. Graph (b) depicts stress decreasing with increasing modulus. Both graphs feature lines for Poisson's ratios from 0.25 to 0.49, differentiated by colors and symbols.</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F8">Figure 8b</xref>, the maximum stresses value <italic>&#x3c3;</italic> exhibits a trend of decreasing initially, followed by the increases as <italic>E</italic> of the gasket increases. This is roughly consistent with the variation law of <italic>&#x3c3;</italic>
<sub>z</sub> with <italic>E</italic> of the gasket in <xref ref-type="fig" rid="F8">Figure 8a</xref>. This indicates a strong correlation between the <italic>&#x3c3;</italic> and <italic>&#x3c3;</italic>
<sub>z</sub>. Meanwhile, as shown in <xref ref-type="fig" rid="F8">Figure 8</xref>, when <italic>E</italic> of the gasket is small, its <italic>&#x3bc;</italic> exhibits a significant positive correlation with the value of <italic>&#x3c3;</italic> and <italic>&#x3c3;</italic>
<sub>z</sub> in the bottom layer of the vulnerable component. Conversely, when <italic>E</italic> of the gasket is large, its <italic>&#x3bc;</italic> has minimal influence on <italic>&#x3c3;</italic> and <italic>&#x3c3;</italic>
<sub>z</sub>.</p>
<p>For the average stress, as shown in <xref ref-type="fig" rid="F9">Figure 9a</xref>, the change in gasket material has almost no effect on the average <italic>&#x3c3;</italic>
<sub>z</sub>. There is only a slight difference when <italic>E</italic> &#x2264; 100 MPa. This indicates that the deformation ability of the gasket material is enhanced, resulting in a large amplitude oscillation of the overall <italic>&#x3c3;</italic>
<sub>z</sub>. As shown in <xref ref-type="fig" rid="F9">Figure 9b</xref>, the average <italic>&#x3c3;</italic> in the bottom layer of the vulnerable component initially decreases and then stabilizes with the increase of <italic>E</italic> of the gasket, which is significantly different from the trend of the average <italic>&#x3c3;</italic>
<sub>z</sub>.</p>
</sec>
<sec id="s3-2">
<title>3.2 Analysis of the protective mechanism of gasket materials on vulnerable components</title>
<sec id="s3-2-1">
<title>3.2.1 Stress homogenization and deformation equilibrium point</title>
<p>As discussed in <xref ref-type="sec" rid="s3-1">Section 3.1</xref>, significant changes occur in the regularity of force distribution on the bottom layer of the vulnerable component when <italic>E</italic> of the gasket ranges from 100 to 2000 MPa. Therefore, this <italic>E</italic> range is crucial for revealing the underlying mechanism. Meanwhile, the difference in regularity between axial stress <italic>&#x3c3;</italic>
<sub>z</sub> and corresponding Von Mises stress <italic>&#x3c3;</italic> in <xref ref-type="fig" rid="F8">Figures 8</xref>, <xref ref-type="fig" rid="F9">9</xref> indicates that other factors affect <italic>&#x3c3;</italic>, leading to its current state. To better understand the protective mechanism of the gasket on the bottom layer of the vulnerable component, we investigated the variations in the value and distribution of the radial stress <italic>&#x3c3;</italic>
<sub>r</sub> and circumferential stress <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> in this layer when <italic>E</italic> of the gasket ranges from 100 to 2000 MPa.</p>
<p>The working condition with <italic>&#x3bc;</italic> &#x3d; 0.4 is selected as the research object. <xref ref-type="fig" rid="F10">Figure 10a</xref> illustrates the value and distribution of <italic>&#x3c3;</italic>
<sub>z</sub> under various working conditions within this range. The contour charts of <italic>&#x3c3;</italic>
<sub>z</sub> of the vulnerable component under various working conditions within this interval are presented in <xref ref-type="fig" rid="F10">Figures 10b&#x2013;g</xref>. The symmetrical axis of each contour chart is on the left side of the graph. The interface between the vulnerable component and gasket (i.e., the bottom of the vulnerable component) is positioned in the upper region of the graph. The overall positional relationship is consistent with <xref ref-type="fig" rid="F10">Figure 10a</xref> for comparison purposes.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Axial stress state with elastic modulus of 100&#x2013;2000 MPa (<italic>&#x3bc;</italic> &#x3d; 0.4) for the gasket. <bold>(a)</bold> Axial stress value and distribution; <bold>(b&#x2013;g)</bold> Contour charts: <bold>(b)</bold> <italic>E</italic> &#x3d; 100MPa, <bold>(c)</bold> <italic>E</italic> &#x3d; 200MPa, <bold>(d)</bold> <italic>E</italic> &#x3d; 500 MPa, <bold>(e)</bold> <italic>E</italic> &#x3d; 800 MPa, <bold>(f)</bold> <italic>E</italic> &#x3d; 1,000 MPa, <bold>(g)</bold> <italic>E</italic> &#x3d; 2000 MPa.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g010.tif">
<alt-text content-type="machine-generated">Graph showing stress distribution across observation points with various elasticity moduli (E values in MPa). Contour plots (b-g) illustrate stress variations, with colors ranging from red (higher) to blue (lower). A color scale is provided for reference.</alt-text>
</graphic>
</fig>
<p>Firstly, as shown in the axial stress contour charts in <xref ref-type="fig" rid="F10">Figures 10b&#x2013;g</xref>, within the range of 100&#x2013;2000 MPa for <italic>E</italic> of the gasket, the peak area (blue part) of the absolute <italic>&#x3c3;</italic>
<sub>z</sub> of the vulnerable component has undergone a shift. At the same time, according to the information in <xref ref-type="fig" rid="F7">Figure 7a</xref> of <xref ref-type="sec" rid="s2-4-2">Section 2.4.2</xref> and <xref ref-type="fig" rid="F10">Figure 10a</xref>, the absolute value of <italic>&#x3c3;</italic>
<sub>z</sub> at the center is higher than that at the outer edge only when <italic>E</italic> is in the range of 300&#x2013;1,000 MPa. And in other ranges, the peak <italic>&#x3c3;</italic>
<sub>z</sub> of the bottom layer is always located at its outer edge.</p>
<p>As described in <xref ref-type="sec" rid="s2-4-2">Section 2.4.2</xref>, when the range of <italic>E</italic> is less than 300 MPa or greater than 1,000 MPa, the stress concentration of vulnerable components is mainly near the outer edge. This is due to the difference in radial deformation between vulnerable components and gaskets under axial force. This results in a sharp change in the local shape of the outer edge of vulnerable components. When the <italic>E</italic> ranges from 300 to 1,000 MPa, the peak stress in the bottom layer of the vulnerable component is observed at the of its the center of bottom. This phenomenon is more akin to the stress distribution on the cross-section of an ideal cylindrical structure under axial loading. Therefore, there is reason to suspect that, within <italic>E</italic> range of the gasket (between 300 and 1,000 MPa), the existence of a point of <italic>E</italic> that results in no axial stress concentration in the bottom layer of the vulnerable component at this value. This point is the deformation equilibrium point <italic>E</italic>
<sub>eq</sub> described in this article.</p>
<p>The <italic>&#x3c3;</italic>
<sub>r</sub> state of the vulnerable component supports this hypothesis. <xref ref-type="fig" rid="F11">Figure 11</xref> shows <italic>&#x3c3;</italic>
<sub>r</sub> state of the vulnerable component when <italic>E</italic> is in the range of 100&#x2013;2000 MPa (<italic>&#x3bc;</italic> &#x3d; 0.4), which has similar meaning to that of <xref ref-type="fig" rid="F10">Figure 10</xref>. As shown in <xref ref-type="fig" rid="F11">Figures 11b&#x2013;g</xref>, when <italic>E</italic> &#x2264; 300 MPa, <italic>&#x3c3;</italic>
<sub>r</sub> in the bottom layer is positive. This indicates that when <italic>E</italic> of the gasket is low, the overall radial deformation of the gasket exceeds that of the vulnerable component. This causes the bottom layer of the vulnerable component to become compressed. Based on the data in <xref ref-type="fig" rid="F11">Figure 11a</xref>, a deformation equilibrium point <italic>E</italic>
<sub>eq</sub> for the gasket material is proven in the range of 300 MPa &#x3c; <italic>E</italic> &#x3c; 500 MPa (<italic>&#x3bc;</italic> &#x3d; 0.4), which makes <italic>&#x3c3;</italic>
<sub>r</sub> zero. At this time, no axial stress is concentrated in the bottom layer of the vulnerable component. Thus, a reasonable gasket material can play a role in homogenizing the bottom stress of the vulnerable component.</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Radial stress state with elastic modulus of 100&#x2013;2000 MPa (<italic>&#x3bc;</italic> &#x3d; 0.4) for the gasket. <bold>(a)</bold> Radial stress value and distribution; <bold>(b&#x2013;g)</bold> Contour charts: <bold>(b)</bold> <italic>E</italic> &#x3d; 100MPa, <bold>(c)</bold> <italic>E</italic> &#x3d; 200MPa, <bold>(d)</bold> <italic>E</italic> &#x3d; 500MPa, <bold>(e)</bold> <italic>E</italic> &#x3d; 800MPa, <bold>(f)</bold> <italic>E</italic> &#x3d; 1000MPa, <bold>(g)</bold> <italic>E</italic> &#x3d; 2000 MPa.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g011.tif">
<alt-text content-type="machine-generated">Graph and color plot illustrating radial stress at observation points along a protected interface with varying stiffness values, labeled E. The left side shows a line graph with different symbols and colors for each stiffness. The right shows color maps labeled b, c, d, e, f, and g, with a gradient color bar indicating stress values from red (high) to blue (low). Observation points numbered 1 to 20 are marked on an axis of symmetry.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Stress coordination function and stress coordination point</title>
<p>First, it is defined that the &#x201c;stress coordination function&#x201d; in this paper specifically refers to the mechanism of reducing von Mises stress through controlled variations in triaxial stresses.</p>
<p>Based on the above conclusions, this section further discusses the regularity of Von Mises stress <italic>&#x3c3;</italic>. <xref ref-type="fig" rid="F12">Figure 12</xref> shows <italic>&#x3c3;</italic> state (<italic>&#x3bc;</italic> &#x3d; 0.4) of the vulnerable component when <italic>E</italic> of the gasket is in the range of 100&#x2013;2000 MPa. <xref ref-type="fig" rid="F12">Figures 12a&#x2013;g</xref> has a similar meaning to <xref ref-type="fig" rid="F10">Figures 10a&#x2013;g</xref>. As shown in <xref ref-type="fig" rid="F12">Figure 12a</xref>, the <italic>&#x3c3;</italic> distribution in the bottom layer of the vulnerable component is essentially uniform in the elastic modulus range of 300&#x2013;500 MPa for the gasket material. According to <xref ref-type="fig" rid="F8">Figure 8b</xref> in <xref ref-type="sec" rid="s3-1">Section 3.1</xref>, within the elastic modulus range of 20&#x2013;300 MPa, the overall &#x3c3; increases, accompanied by local stress concentration at the outer edge. In the elastic modulus range of 300&#x2013;3 &#xd7; 10<sup>5</sup> MPa, the &#x3c3; gradually increases from the center towards the outer edge.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Von Mises stress with elastic modulus of 100&#x2013;2000 MPa (<italic>&#x3bc;</italic> &#x3d; 0.4) for the gasket. <bold>(a)</bold> Von Mises stress value and distribution; <bold>(b&#x2013;g)</bold> Contour charts: <bold>(b)</bold> <italic>E</italic> &#x3d; 100MPa, <bold>(c)</bold> <italic>E</italic> &#x3d; 200MPa, <bold>(d)</bold> <italic>E</italic> &#x3d; 500MPa, <bold>(e)</bold> <italic>E</italic> &#x3d; 800MPa, <bold>(f)</bold> <italic>E</italic> &#x3d; 1000MPa, <bold>(g)</bold> <italic>E</italic> &#x3d; 2000 MPa.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g012.tif">
<alt-text content-type="machine-generated">Graph and color maps illustrating stress distribution across different observation points. The graph shows six data series with varying elasticity moduli (E) values in megapascals (MPa). Color maps (b-g) display stress gradients transitioning from red to blue, corresponding to values on a color scale ranging from 6.485e-05 to 3.589e-07. Annotations include observations from protected interfaces and axes of symmetry.</alt-text>
</graphic>
</fig>
<p>We discussed the homogenization issue of Von Mises stress in the bottom layer of vulnerable component within the 300&#x223c;500 MPa range, and verified that the <italic>&#x3c3;</italic>
<sub>z</sub> distribution of the gasket material at <italic>E</italic>
<sub>eq</sub> is uniform (<italic>&#x3c3;</italic>
<sub>r</sub> &#x3d; 0). Meanwhile, existing theories have shown that an ideal cylinder component experiences circumferential stress <italic>&#x3c3;</italic>
<sub>r</sub> &#x3d; <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> (<xref ref-type="bibr" rid="B10">Huang, 2014</xref>) under axial overload conditions. This is consistent with the simulation results presented in this paper, which will not be further elaborated. Therefore, combining the <italic>&#x3c3;</italic> formula shows that when the gasket material is near <italic>E</italic>
<sub>eq</sub>, its <italic>&#x3c3;</italic> value and distribution are primarily determined by the <italic>&#x3c3;</italic>
<sub>z</sub> value and distribution. This causes the similar stress distribution uniformity characteristics in the same interval. The Von Mises stress formula is shown in <xref ref-type="disp-formula" rid="e4">Equation 4</xref>.<disp-formula id="e4">
<mml:math id="m11">
<mml:mrow>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msqrt>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msqrt>
<mml:mo>/</mml:mo>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:msqrt>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">z</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">&#x3c4;</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">&#x3c4;</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">z</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
<p>Similarly, when <italic>&#x3c3;</italic> not within the 300&#x2013;500 MPa range, the influence of the distribution of <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> must be considered. Typically, under ideal conditions <italic>&#x3c3;</italic>
<sub>r</sub> &#x3d; <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub>. Therefore, the variation of vulnerable component deformation, gasket deformation, <italic>&#x3c3;</italic>
<sub>z</sub> and <italic>&#x3c3;</italic>
<sub>r</sub> with <italic>E</italic> of the gasket were plotted as shown in <xref ref-type="fig" rid="F13">Figure 13</xref>. Among them, the stress coordination point (<italic>E</italic>
<sub>sc</sub>) denotes <italic>E</italic> of the gasket corresponding to the point of minimum <italic>&#x3c3;</italic>. Although the minimum value of the simulation result in <xref ref-type="fig" rid="F8">Figure 8b</xref> of <xref ref-type="sec" rid="s3-1">Section 3.1</xref> corresponds to <italic>E</italic> &#x3d; 1,000 MPa, the selection of simulation calculation parameters is spaced similarly to <italic>E</italic>
<sub>eq</sub>. This means that the <italic>E</italic>
<sub>sc</sub> can only be determined to have a value ranging from 500 to 2000 MPa (<italic>&#x3bc;</italic> &#x3d; 0.4).</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Schematic diagram illustrating the variation of <italic>&#x3c3;</italic>
<sub>z</sub> and <italic>&#x3c3;</italic>
<sub>r</sub> with <italic>E</italic> of the gasket (<italic>&#x3bc;</italic> &#x3d; 0.4).</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g013.tif">
<alt-text content-type="machine-generated">A diagram shows a series of repeating block structures along an axis labeled &#x22;Axis of symmetry.&#x22; Each block alternates between two colors, with arrows indicating positive directions of stress (&#x3C3;&#x1D63; and &#x3C3;_z). Below, a horizontal axis labeled &#x22;E&#x22; spans from 2&#xD7;10&#xB9; to 3&#xD7;10&#x2075;, with marked points E_eq and E_sc. Notes explain the positive directions of &#x3C3;_z and &#x3C3;&#x1D63;, with E_eq as the deformation equilibrium point and E_sc as the stress coordination point.</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F13">Figure 13</xref>, under the condition of gasket <italic>&#x3bc;</italic> &#x3d; 0.4, the pattern of how &#x3c3; varies with <italic>E</italic> of gasket is divided into the following five states.</p>
<p>State (1): When <italic>E</italic> of the gasket is less than or equal to 100 MPa, the deformation of the gasket increases significantly as its <italic>E</italic> decreases. This results in a concurrent increase in <italic>&#x3c3;</italic>
<sub>z</sub> at the outer edge of the bottom layer of the vulnerable component. Simultaneously, this deformation causes a concurrent increase in <italic>&#x3c3;</italic>
<sub>r</sub>. It should be noted that in this state, <italic>&#x3c3;</italic>
<sub>z</sub> is negative while <italic>&#x3c3;</italic>
<sub>r</sub> &#x3d; <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> is positive. Therefore, according to the Von Mises stress formula, <italic>&#x3c3;</italic> at the bottom layer of the vulnerable component increases as <italic>E</italic> decreases.</p>
<p>State (2): When 100 MPa &#x3c; <italic>E</italic> &#x3c; <italic>E</italic>
<sub>eq</sub>, as <italic>E</italic> approaches <italic>E</italic>
<sub>eq</sub>, the connection between the gasket and the vulnerable component gradually becomes smoother, resulting to a more uniform distribution of <italic>&#x3c3;</italic>
<sub>z</sub>. Simultaneously, <italic>&#x3c3;</italic> continues to decrease as <italic>E</italic> increases, causing the peak position to shift towards the center of the bottom layer of the vulnerable component. At this state, the variation patterns of <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> are consistent with state (<xref ref-type="bibr" rid="B23">Mohammad and Mohammadzadeh Gonabadi, 2019</xref>), and they gradually approach zero as <italic>E</italic> of the gasket approaches <italic>E</italic>
<sub>eq</sub>. Therefore, according to the Von Mises stress formula, <italic>&#x3c3;</italic> further decreases as <italic>E</italic> increases.</p>
<p>State (3): When <italic>E</italic> &#x3d; <italic>E</italic>
<sub>eq</sub>, the smooth connection between the gasket and the vulnerable component eliminates stress connection, resulting the distribution of <italic>&#x3c3;</italic>
<sub>z</sub> to approximate the ideal stress characteristics of a cylindrical pressure vessel with <italic>&#x3c3;</italic>
<sub>r</sub> &#x3d; 0 and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> &#x3d; 0. At this state, the value and distribution of <italic>&#x3c3;</italic> are equal to the absolute value of <italic>&#x3c3;</italic>
<sub>z</sub>.</p>
<p>State (4): When <italic>E</italic>
<sub>eq</sub> &#x3c; <italic>E</italic> &#x2264; <italic>E</italic>
<sub>sc</sub>, <italic>E</italic> of the gasket gradually moves away from <italic>E</italic>
<sub>eq</sub>. The results in the peak position of <italic>&#x3c3;</italic>
<sub>z</sub> shifting outward from the center to the outer edge of the bottom layer of the vulnerable component. Concurrently, peak stress values transition from initial stability to a gradual increase. However, i the radial deformation of the vulnerable component surpasses that of the gasket at this stage. Thus, both <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> turn negative. As <italic>E</italic> of the gasket increases, the value of <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> gradually rise. According to <xref ref-type="disp-formula" rid="e2">Equation 2</xref>, <italic>&#x3c3;</italic> actually decreases as <italic>E</italic> increases, gradually reaching its minimum value. This occurs because the presence of negative values <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> in <xref ref-type="disp-formula" rid="e2">Equation 2</xref> diminish the dominant influence of the negative value of <italic>&#x3c3;</italic>
<sub>z</sub> on the outcome of formula.</p>
<p>State (5): When <italic>E</italic>
<sub>sc</sub> &#x3c; <italic>E</italic>, the deformation capacity of the gasket diminishes as <italic>E</italic> continues to increase. Concurrently, the deformation of the vulnerable component in relative to the gasket increases and gradually stabilizes at a fixed value. This value corresponds to the deformation of the vulnerable component when the gasket acts as a rigid body. Therefore, as <italic>E</italic> of the gasket increases, the value of <italic>&#x3c3;</italic>
<sub>z</sub> at the outer edge of the bottom layer also increase, and gradually approaching a fixed value. At the same time, the values of <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> also increase synchronously and gradually tend to a fixed value. However, in the distribution of <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub>, the values at the outer edge are the smallest, and their subsequent growth rate is significantly lower than that of <italic>&#x3c3;</italic>
<sub>z</sub>. Therefore, according to the Von Mises stress formula, <italic>&#x3c3;</italic> continues to rise as <italic>E</italic>, gradually approaching a fixed value.</p>
</sec>
<sec id="s3-2-3">
<title>3.2.3 The influence of Poisson&#x2019;s ratio of gasket on the values of deformation equilibrium point and stress coordination point</title>
<p>Theoretically derivation of the calculation formulas for <italic>E</italic>
<sub>eq</sub> and <italic>E</italic>
<sub>sc</sub> is challenging due to the adhesive bonding between the bottom layer of the vulnerable component and the gasket. However, the correlation between them and <italic>&#x3bc;</italic> of the gasket can be discussed through classical material mechanics. Assuming that the vulnerable component and the gasket are both isotropic elastic cylinders, <italic>&#x3c3;</italic>
<sub>z</sub> on both sides of the interface between the gasket and the vulnerable component is the same, <italic>&#x3c3;</italic>
<sub>r</sub> is equal in magnitude and opposite in direction. According to the Poisson effect, the relationship between the radial strain <italic>&#x3b5;</italic>
<sub>r</sub> and axial strain <italic>&#x3b5;</italic>
<sub>z</sub> of the gasket on the bonding interface between the gasket and the bottom layer of the vulnerable component is as <xref ref-type="disp-formula" rid="e5">Equation 5</xref>.<disp-formula id="e5">
<mml:math id="m12">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3b5;</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mi mathvariant="bold-italic">&#x3bc;</mml:mi>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3b5;</mml:mi>
<mml:mi mathvariant="bold-italic">z</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>Since the <italic>&#x3c3;</italic>
<sub>z</sub> is the same on both sides of the bonding surface between the gasket and the vulnerable component. Therefore, axial strain can be expressed using <xref ref-type="disp-formula" rid="e6">Equation 6</xref>.<disp-formula id="e6">
<mml:math id="m13">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3b5;</mml:mi>
<mml:mi mathvariant="bold-italic">z</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">z</mml:mi>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="bold-italic">E</mml:mi>
</mml:mrow>
</mml:math>
<label>(6)</label>
</disp-formula>
</p>
<p>Assuming further that the <italic>&#x3c3;</italic>
<sub>r</sub> and radial displacement <italic>u</italic>
<sub>r</sub> on the constraint surface are both related to the geometric dimensions of the vulnerable component. We introduce a shear stress coefficient <italic>&#x3ba;</italic>, which is assumed to depend on the material properties and geometric shape of the vulnerable component. The <italic>&#x3c3;</italic>
<sub>r</sub> on the constraint surface can be approximately represented follows.<disp-formula id="e7">
<mml:math id="m14">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
</mml:msub>
<mml:mo>&#x2248;</mml:mo>
<mml:mi mathvariant="bold-italic">&#x3ba;</mml:mi>
<mml:mo>&#xb7;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">u</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="bold-italic">&#x3ba;</mml:mi>
<mml:mo>&#xb7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="bold-italic">&#x3bc;</mml:mi>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mi mathvariant="bold-italic">z</mml:mi>
</mml:msub>
<mml:mi mathvariant="bold-italic">D</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
<mml:mi mathvariant="bold-italic">E</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="bold-italic">&#x3ba;</mml:mi>
<mml:mo>&#xb7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
<mml:mi mathvariant="bold-italic">&#x3bc;</mml:mi>
<mml:mi mathvariant="bold-italic">m</mml:mi>
<mml:mi mathvariant="bold-italic">a</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">&#x3c0;</mml:mi>
<mml:mi mathvariant="bold-italic">D</mml:mi>
<mml:mi mathvariant="bold-italic">E</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(7)</label>
</disp-formula>
</p>
<p>As mentioned earlier in <xref ref-type="sec" rid="s3-2-2">Section 3.2.2</xref>, when <italic>E</italic> of the gasket material is set to <italic>E</italic>
<sub>eq</sub>, the <italic>&#x3c3;</italic>
<sub>r</sub> is zero. Therefore, we assume that &#x7c;<italic>&#x3c3;</italic>
<sub>r</sub>&#x7c; is a non-zero minimal value. Based on the left and right limits of the <xref ref-type="disp-formula" rid="e7">Formula 7</xref>, it is not difficult to find that the value of <italic>E</italic>
<sub>eq</sub> is related to the properties of the vulnerable component material, and geometric shape, and is directly proportional to Poisson&#x2019;s ratio <italic>&#x3bc;</italic> of the gasket. <italic>E</italic>
<sub>sc</sub> is also directly proportional to <italic>&#x3bc;</italic>. <xref ref-type="fig" rid="F14">Figure 14</xref> shows the relationship between material parameters and stress concentration factor. The relationship between <italic>E</italic>
<sub>eq</sub> and <italic>&#x3bc;</italic> cannot be clearly determine due to the oscillation of axial stress in the bottom layer of the vulnerable component&#x2019;s material near <italic>E</italic>
<sub>eq</sub>, as shown in <xref ref-type="fig" rid="F14">Figure 14a</xref>. However, <xref ref-type="fig" rid="F14">Figure 14b</xref> clearly indicates that as <italic>&#x3bc;</italic> of the gasket material increases, so does <italic>E</italic> of the gasket, This corresponds to the minimum Von Mises stress concentration factor in the bottom layer of the vulnerable component. This suggests that <italic>E</italic>
<sub>sc</sub> has shifted in the positive direction of the horizontal axis at this time.</p>
<fig id="F14" position="float">
<label>FIGURE 14</label>
<caption>
<p>The influence of material parameters on stress concentration factor. <bold>(a)</bold> <italic>&#x3d5;</italic>
<sub>z-max</sub>; <bold>(b)</bold> <italic>&#x3d5;</italic>
<sub>max</sub>.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g014.tif">
<alt-text content-type="machine-generated">Two line graphs depict relationships between variables with different friction coefficients, denoted by &#xB5; values ranging from 0.25 to 0.49. Graph (a) shows the maximum stress \(\phi_{z,max}\) versus the modulus of elasticity (E), exhibiting a decreasing trend followed by a gradual increase. Graph (b) presents \(\phi_{max}\) versus E, also illustrating a decrease, followed by a strong increase with a detailed inset for clarity. Both graphs feature multiple lines for varying &#xB5; values, with legends included.</alt-text>
</graphic>
</fig>
<p>Based on the above discussion, it is established that for given vulnerable component conditions, a specific <italic>E</italic>
<sub>eq</sub> necessarily exists for the gasket material&#x2019;s elastic modulus. When <italic>E</italic> is set to this value, <italic>&#x3c3;</italic>
<sub>z</sub> and <italic>&#x3c3;</italic> at the bottom layer of the vulnerable component are uniformly distributed. At the same time, there exists a <italic>E</italic>
<sub>sc</sub> that is slightly greater than <italic>E</italic>
<sub>eq</sub>. When <italic>E</italic> is set to this value, the peak of <italic>&#x3c3;</italic> achieves its minimum under the combined effects of various stresses. Crucially, <italic>E</italic>
<sub>eq</sub> and <italic>E</italic>
<sub>sc</sub> are positively correlated with <italic>&#x3bc;</italic> of the gasket material.</p>
</sec>
<sec id="s3-2-4">
<title>3.2.4 The influence of thickness of gasket on the values of deformation equilibrium point and stress coordination point</title>
<p>The thickness variation of the gasket leads to changes in its longitudinal deformation, impacting the homogenization coordination effect. Therefore, further discussion is needed on the relationship between the thickness <italic>H</italic>
<sub>p</sub> of the gasket and the homogenization coordination effect. Take typical gasket thicknesses of <italic>H</italic>
<sub>p</sub> &#x3d; 2, 10, 20 mm, and a material Poisson&#x2019;s ratio of <italic>&#x3bc;</italic> &#x3d; 0.4. The calculation results under different elastic modulus <italic>E</italic> are shown in <xref ref-type="fig" rid="F15">Figure 15</xref>.</p>
<fig id="F15" position="float">
<label>FIGURE 15</label>
<caption>
<p>The influence of gasket thickness <italic>H</italic>
<sub>p</sub> on Von Mises stress in the bottom layer of the vulnerable component. <bold>(a)</bold> <italic>&#x3d5;</italic>
<sub>max</sub>; <bold>(b)</bold> <italic>&#x3c3;</italic>
<sub>max</sub>.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g015.tif">
<alt-text content-type="machine-generated">Graphs showing the relationship between parameter \(E\) (in MPa) and two different outputs. Panel (a) depicts \(\phi_{\text{max}}\) versus \(E\) for \(H_p\) values of 2 mm, 10 mm, and 20 mm. Panel (b) shows \(\sigma_{\text{max}}\) versus \(E\) for the same \(H_p\) values. Both graphs reveal trends with different line styles for each \(H_p\).</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F15">Figure 15</xref>, when the elastic modulus of the gasket material is small, the thickness of the gasket will significantly increase the longitudinal deformation difference at the interface between the gasket and the grain. The higher the thickness, the greater the stress concentration factor and stress peak. But when the elastic modulus of the gasket is higher than 300 MPa, the regularity of the three curves is consistent. Meanwhile, the optimal elastic modulus value corresponding to the lowest Von Mises stress suggests that the uniform coordination effect of the gasket on the bottom layer stress of the vulnerable component is independent of the thickness of the gasket.</p>
<sec id="s3-2-4-1">
<title>3.2.4.1 Discussion on the mechanism of action of gasket materials</title>
<p>From the above analysis, the regularity observed in <italic>&#x3c3;</italic> is actually a comprehensive reflection of the three-dimensional stress law in the Von Mises stress expression. The minimum value of <italic>&#x3c3;</italic> arises from the combined effects of two factors. Firstly, when <italic>E</italic> of the gasket exceeds <italic>E</italic>
<sub>eq</sub> and gradually moves away from it, the axial stress <italic>&#x3c3;</italic>
<sub>z</sub> undergoes a slow adjustment in stress distribution. At this time, its value remains relatively low, with the high distribution at the center and low distribution at the edges. Secondly, when <italic>E</italic> is greater than <italic>E</italic>
<sub>eq</sub>, <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> become negative, and their magnitudes increase as <italic>E</italic> increases. The combined effect of the above two factors results in <italic>&#x3c3;</italic> not being the minimum value when the bottom layer of the vulnerable component is under uniform stress distribution at <italic>E</italic>
<sub>eq</sub>. On the contrary, when <italic>E</italic> is slightly greater than <italic>E</italic>
<sub>eq</sub>, the introduction of negative values of <italic>&#x3c3;</italic>
<sub>r</sub> and <italic>&#x3c3;</italic>
<sub>&#x3c4;</sub> weakens the dominant role of <italic>&#x3c3;</italic>
<sub>z</sub> in Von Mises stress calculation to a certain extent. This can further reduce the calculated value of <italic>&#x3c3;</italic>. As <italic>E</italic> continues to increase, the growth rate at the outer edge of the vulnerable component is much slower than that of <italic>&#x3c3;</italic>
<sub>z</sub> due to their distribution characteristics. Conversely, <italic>&#x3c3;</italic> starts to increase again.</p>
<p>Therefore, when <italic>E</italic> of the gasket is set at <italic>E</italic>
<sub>eq</sub>, the uniform distribution of stress in the bottom layer of the vulnerable component arises from the consistency of local longitudinal deformations in both the vulnerable component and the gasket. This phenomenon is defined as the stress homogenization effect of the gasket on the bottom layer of the vulnerable component in this article. When <italic>E</italic> is set at <italic>E</italic>
<sub>sc</sub>, the numerical coordinates and coupling of the three-dimensional stresses in the bottom layer of the vulnerable component result in the lowest <italic>&#x3c3;</italic>. This effect is referred to the multi-directional stress coordination effect of the gasket on the bottom layer of the vulnerable component. This paper terms these two effects collectively as the homogenization and coordinating effects of the gasket on the bottom interface of the vulnerable component.</p>
</sec>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Fast prediction model and gasket material selection</title>
<p>In <xref ref-type="sec" rid="s3-2">Section 3.2</xref> uses the example of gasket with <italic>&#x3bc;</italic> &#x3d; 0.4 to analyze and discuss how the gasket homogenizes and coordinates the stress reduction in the bottom layer of the vulnerable component. It is evident that obtaining the minimum <italic>&#x3c3;</italic> by theoretically calculating the optimal material parameters of the gasket is challenging. Therefore, we utilize the finite element calculation results from <xref ref-type="sec" rid="s3-1">Section 3.1</xref> to establish a fast prediction model for <italic>&#x3c3;</italic> with different gasket materials through numerical fitting of surfaces. This provides a basis for the optimal selection of gasket materials.</p>
<p>Based on the previous analysis, the objective function for <italic>&#x3c3;</italic>, which involves <italic>E</italic> and <italic>&#x3bc;</italic> of the gasket, is set as <xref ref-type="disp-formula" rid="e8">Equation 8</xref>.<disp-formula id="e8">
<mml:math id="m15">
<mml:mrow>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">1</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msub>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">3</mml:mn>
</mml:msub>
<mml:msup>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">4</mml:mn>
</mml:msub>
<mml:msup>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mn mathvariant="bold">3</mml:mn>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">5</mml:mn>
</mml:msub>
<mml:mi mathvariant="bold-italic">&#x3bc;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn mathvariant="bold">1</mml:mn>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">6</mml:mn>
</mml:msub>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">7</mml:mn>
</mml:msub>
<mml:msup>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">8</mml:mn>
</mml:msub>
<mml:msup>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mn mathvariant="bold">3</mml:mn>
</mml:msup>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">9</mml:mn>
</mml:msub>
<mml:mi mathvariant="bold-italic">&#x3bc;</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">p</mml:mi>
<mml:mn mathvariant="bold">10</mml:mn>
</mml:msub>
<mml:msup>
<mml:mi mathvariant="bold-italic">&#x3bc;</mml:mi>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xb7;</mml:mo>
<mml:msub>
<mml:mi mathvariant="bold-italic">&#x3c3;</mml:mi>
<mml:mrow>
<mml:mi mathvariant="bold-italic">e</mml:mi>
<mml:mi mathvariant="bold-italic">q</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
<label>(8)</label>
</disp-formula>
</p>
<p>Among them, <italic>&#x3c3;</italic>
<sub>eq</sub> represents the reference stress, which is the Von Mises stress of the bottom layer of the vulnerable component when <italic>E</italic> &#x3d; <italic>E</italic>
<sub>eq</sub>. As discussed in <xref ref-type="sec" rid="s3-2-1">Section 3.2.1</xref>, the stress at the bottom layer of the vulnerable component at this moment corresponds to an ideal cylindrical, resulting in <italic>&#x3c3;</italic>
<sub>eq</sub> &#x3d; &#x7c;<italic>&#x3c3;</italic>
<sub>z</sub>&#x7c;. Hence, the theoretical <xref ref-type="disp-formula" rid="e3">Formula 3</xref> is used to directly calculate <italic>&#x3c3;</italic>
<sub>eq</sub>. <italic>P</italic>
<sub>1</sub>-<italic>P</italic>
<sub>10</sub> are all fitting coefficients. The Levenberg-Marquardt method is used for regression analysis fitting, and the parameter fitting results are shown in <xref ref-type="table" rid="T7">Table 7</xref>.</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Parameter regression fitting results.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Parameter</th>
<th align="center">Fitting result</th>
<th align="center">Parameter</th>
<th align="center">Fitting result</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<italic>P</italic>
<sub>1</sub>
</td>
<td align="center">&#x2212;1.3070 &#xd7; 10<sup>2</sup>
</td>
<td align="center">
<italic>P</italic>
<sub>6</sub>
</td>
<td align="center">1.1367 &#xd7; 10<sup>1</sup>
</td>
</tr>
<tr>
<td align="center">
<italic>P</italic>
<sub>2</sub>
</td>
<td align="center">9.3016</td>
<td align="center">
<italic>P</italic>
<sub>7</sub>
</td>
<td align="center">6.1084 &#xd7; 10<sup>&#x2212;3</sup>
</td>
</tr>
<tr>
<td align="center">
<italic>P</italic>
<sub>3</sub>
</td>
<td align="center">1.8700</td>
<td align="center">
<italic>P</italic>
<sub>8</sub>
</td>
<td align="center">4.7046 &#xd7; 10<sup>&#x2212;6</sup>
</td>
</tr>
<tr>
<td align="center">
<italic>P</italic>
<sub>4</sub>
</td>
<td align="center">6.2117 &#xd7; 10<sup>&#x2212;1</sup>
</td>
<td align="center">
<italic>P</italic>
<sub>9</sub>
</td>
<td align="center">3.9430 &#xd7; 10<sup>3</sup>
</td>
</tr>
<tr>
<td align="center">
<italic>P</italic>
<sub>5</sub>
</td>
<td align="center">7.4301 &#xd7; 10<sup>3</sup>
</td>
<td align="center">
<italic>P</italic>
<sub>10</sub>
</td>
<td align="center">&#x2212;3.6276 &#xd7; 10<sup>3</sup>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The fitted function surface is depicted in <xref ref-type="fig" rid="F16">Figure 16</xref>. In the diagram, the x-axis and y-axis represent <italic>E</italic> and <italic>&#x3bc;</italic> of the gasket, respectively, while the z-axis represents the corresponding Von Mises stress peak at the bottom layer of the vulnerable component. The blue sphere represents the simulation calculation result. The RMSE (root-mean-square error) of the final function is 0.0846, and the coefficient of determination R-Square is 0.99796, indicating that the fitting results is satisfactory.</p>
<fig id="F16" position="float">
<label>FIGURE 16</label>
<caption>
<p>Fitted function surface.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g016.tif">
<alt-text content-type="machine-generated">3D plot displaying a surface graph with axes labeled E(MPa) and &#x3C3;(MPa). The surface ranges from blue to red, indicating varying values of &#x3C3;(MPa). Blue spheres represent simulation results. The legend indicates &#x22;Fitting result&#x22; with a color gradient and &#x22;Simulation result&#x22; with blue spheres.</alt-text>
</graphic>
</fig>
<p>To facilitate the optimal selection of gasket materials in practical design, we project <xref ref-type="fig" rid="F16">Figure 16</xref> upwards, obtaining a <italic>&#x3c3;</italic> contour char, where <italic>E</italic> serves as the x-axis and <italic>&#x3bc;</italic> as the y-axis, as shown in <xref ref-type="fig" rid="F17">Figure 17</xref>. The area between the two yellow dashed lines in this figure represents the range of materials preferred in this article. Compared with the stress in the bottom layer of the vulnerable component under the traditional steel material bottom condition described in <xref ref-type="sec" rid="s2-4-2">Section 2.4.2</xref>, the <italic>&#x3c3;</italic> within the preferred interval are all below 3.24 MPa, showing a decrease of more than 34.4%. Reasonable selection of gasket materials effectively reduce the stress in the bottom layer of the vulnerable component, thus protecting the vulnerable component.</p>
<fig id="F17" position="float">
<label>FIGURE 17</label>
<caption>
<p>Performance projection chart of different gasket materials.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g017.tif">
<alt-text content-type="machine-generated">Chart depicting the relationship between the elastic modulus \(E\) in MPa (x-axis, logarithmic scale) and the Poisson's ratio \(\mu\) (y-axis) for various materials. A color gradient from blue to yellow indicates varying \(E\) values. Each material is numbered and identified on the right, ranging from steel to polyurethane A90. Dots represent materials placed within the chart based on their properties, with dashed lines highlighting their range.</alt-text>
</graphic>
</fig>
<p>The black dots in <xref ref-type="fig" rid="F17">Figure 17</xref> are labeled with numbers, indicating the corresponding parameter positions for 20 traditional used materials or material types based on the statistical data presented in this article (<xref ref-type="bibr" rid="B28">Sachin and Ravindra, 2012</xref>; <xref ref-type="bibr" rid="B11">Iqbal et al., 2013</xref>; <xref ref-type="bibr" rid="B15">Kou and Xu, 2015</xref>; <xref ref-type="bibr" rid="B9">Huang et al., 2010</xref>; <xref ref-type="bibr" rid="B18">Li et al., 2006</xref>; <xref ref-type="bibr" rid="B26">O&#x27;Daniel et al., 2002</xref>; <xref ref-type="bibr" rid="B27">Riedel et al., 2009</xref>; <xref ref-type="bibr" rid="B30">Urtiew et al., 2008</xref>; <xref ref-type="bibr" rid="B8">Hou and Werner, 1996</xref>; <xref ref-type="bibr" rid="B24">Mu et al., 2010</xref>; <xref ref-type="bibr" rid="B14">Kim et al., 2005</xref>; <xref ref-type="bibr" rid="B1">Ackland et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Nsiampa et al., 2011</xref>; <xref ref-type="bibr" rid="B6">Fu et al., 2022</xref>). From the perspective of the capacity of various materials to reduce the peak Von Mises stress in the bottom layer of the vulnerable component, high polymer materials like engineering plastics generally outperform most metal and flexible materials. For example, Nylon 1,010, High-density polyethylene, Low-density polyethylene and Celluloid are all excellent materials in terms of performance. Of course, in the actual engineering design process, material researchers should comprehensively consider the vulnerable components to be protected and the actual load conditions.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Verification test</title>
<p>To validate whether gasket materials within the optimized parameter range specified in <xref ref-type="sec" rid="s3-3">Section 3.3</xref> effectively reduce the bottom layer stresses of the vulnerable energetic composites through homogenization-coordination mechanisms under low-amplitude, long-pulse dynamic loading conditions. This study uses simulated launch load testing methodology for validation experiments and selects process-stabilized Nylon 1010 as the preferred representative gasket material.</p>
<sec id="s4-1">
<title>4.1 Test method selection</title>
<p>Common simulated launch load testing methods mainly include: closed bomb test, semi-closed bomb test, and large-scale drop hammer test (<xref ref-type="bibr" rid="B20">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Xu and Qu, 2015</xref>; <xref ref-type="bibr" rid="B35">Zhou et al., 2023</xref>). However, it is difficult to measure stress distribution without interfering with stress concentration in vulnerable components in practical testing. Since one end of the specimen is typically constrained by ground anchorage, it remains challenging to determine through mechanical analysis whether the stress concentration point at the bottom of component initiates failure first. But for large-scale drop hammer tests, existing literature confirms that shear failure preferentially occurs at surface/interface stress concentration points in the selected vulnerable energetic composite components. The energetic properties induce localized friction and temperature rise during failure, collectively triggering decomposition behavior &#x2014; a characteristic advantageous for observing and validating surface/interface protection (<xref ref-type="bibr" rid="B2">Baker et al., 1992</xref>; <xref ref-type="bibr" rid="B32">Wu and Huang, 2013</xref>; <xref ref-type="bibr" rid="B5">Duan et al., 2023</xref>). Accordingly, this study addresses the challenge of stress concentration testing at vulnerable material interfaces by utilizing the unique properties of the protected material, implementing comparative drop hammer testing to validate gasket performance.</p>
</sec>
<sec id="s4-2">
<title>4.2 Experimental setup</title>
<p>The large-scale drop hammer test employs a 400 kg drop hammer that free-falls along preset guide rails under gravitational force. The impact energy is transmitted via a piston to the head face of the sample within the shell, thereby simulating high-g axial loading conditions. Concurrently, the underlying data acquisition system measures and records the average axial stress at the sample&#x2019;s base surface with a sampling rate of 200,000 Hz. In large-scale drop hammer testing, the pulse duration of stress loading typically ranges from 3 to 10 ms, with peak stresses attainable up to 1,500 MPa and maximum stress rates achievable at 300 MPa&#xb7;ms<sup>&#x2212;1</sup>. The impact loading characteristics closely approximate artillery bore pressure profiles, making this method extensively utilized in simulating launch load-induced shock. <xref ref-type="fig" rid="F18">Figure 18</xref> schematically depicts the large-scale drop hammer apparatus and its operational principle.</p>
<fig id="F18" position="float">
<label>FIGURE 18</label>
<caption>
<p>Large-scale drop hammer device and its schematic diagram.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g018.tif">
<alt-text content-type="machine-generated">A large green drop-hammer testing apparatus with labeled components and an accompanying diagram showing a detailed cross-section. The diagram features parts like upper-piston, sleeve, mid-piston, protected composite material, and data acquisition system. The apparatus includes a hammer, track, bunker, and sample.</alt-text>
</graphic>
</fig>
<p>It is difficult to completely extract the test sample after testing without altering its original state. Therefore, the study first uses the &#x2018;up-and-down method&#x27; to determine the drop height corresponding to 100% decomposition reaction of the unprotected energetic composite material. Then, comparative tests are conducted on samples with gaskets under the same or even higher drop height conditions. Based on the preceding analysis of test methodologies, if the gasket-equipped samples can safely avoid decomposition reactions at higher drop heights, it can be concluded that the gasket protects typical vulnerable composite materials by reducing interface stress peaks.</p>
<p>The gasket material used in testing is Nylon 1010 (<xref ref-type="bibr" rid="B31">Wang and Huang, 1994</xref>; <xref ref-type="bibr" rid="B7">HG 2349, 1992</xref>; <xref ref-type="bibr" rid="B12">JB/ZQ 4196-2006, 2006</xref>), as shown in <xref ref-type="fig" rid="F19">Figure 19a</xref>. As mentioned earlier, the thickness of the gasket in the preferred material range has almost no effect on the stress concentration and the peak Von Mises stress of the unprotected energetic composite material. Therefore, considering the convenience of experimental processing, the size of the gasket sample is taken as &#x3a6; 40 mm &#xd7; 4 mm. During testing of samples containing gaskets, the gasket is bonded to the end face of the protected composite specimen using a two-component epoxy adhesive, as depicted in <xref ref-type="fig" rid="F18">Figure 18</xref>. The protected vulnerable components are conventional energetic composites (<xref ref-type="bibr" rid="B3">Carlos and Scott, 2021</xref>), which are formed by compressing a mixture of 95.8 wt% 2,4,6,8,10,12-hexanitrohexaazaisowurtzitane (HNIW), 4.2 wt% plastic binder and graphite. <xref ref-type="fig" rid="F19">Figure 19b</xref> shows 45 protected composite specimens manufactured under this formulation, designed as &#x3a6;40 mm &#xd7; 40 mm cylinders with a density of 1.93 g&#xb7;cm<sup>&#x2212;3</sup>. These specimens are labeled c-1, c-2, c-3, etc., for identification.</p>
<fig id="F19" position="float">
<label>FIGURE 19</label>
<caption>
<p>Photo of the test sample: <bold>(a)</bold> Nylon 1,010 gaskets; <bold>(b)</bold> Protected vulnerable components.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g019.tif">
<alt-text content-type="machine-generated">Three circular white disks labeled N-1, N-2, N-3, each marked as four millimeters in diameter, placed above a ruler. Five cylindrical black objects labeled C-1, C-2, C-3, C-4, C-5, with varying measurements, aligned above another ruler on a red surface.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-3">
<title>4.3 Experimental results and analysis</title>
<p>Based on gasket-free sample testing, impact-induced decomposition probabilities of vulnerable composite structures under 0.8&#x2013;1.2 m drop height conditions were obtained as shown in <xref ref-type="table" rid="T8">Table 8</xref>. Through testing of samples with gaskets, decomposition probabilities of protected vulnerable structures under 1.0&#x2013;1.2 m drop height conditions were acquired and presented in <xref ref-type="table" rid="T9">Table 9</xref>.</p>
<table-wrap id="T8" position="float">
<label>TABLE 8</label>
<caption>
<p>Test results of drop hammer tests on gasket-free sample at different heights.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Drop height<break/>
<italic>H</italic> (m)</th>
<th align="center">Number of tests</th>
<th align="center">Number of decompositions</th>
<th align="center">Decomposition probability (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">0.8</td>
<td align="center">7</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">0.9</td>
<td align="center">10</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">1.0</td>
<td align="center">10</td>
<td align="center">6</td>
<td align="center">60</td>
</tr>
<tr>
<td align="center">1.1</td>
<td align="center">10</td>
<td align="center">10</td>
<td align="center">100</td>
</tr>
<tr>
<td align="center">1.2</td>
<td align="center">8</td>
<td align="center">8</td>
<td align="center">100</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T9" position="float">
<label>TABLE 9</label>
<caption>
<p>Test results of drop hammer tests on samples with gaskets at different heights.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Drop height<break/>
<italic>H</italic> (m)</th>
<th align="center">Number of tests</th>
<th align="center">Number of decompositions</th>
<th align="center">Decomposition probability (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1.0</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">1.1</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">1.2</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">33.33</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Test results demonstrate: Samples without gasket protection exhibited impact-induced decomposition reactions under all test conditions with drop heights <italic>H</italic> &#x2265; 1.1 m. In contrast, samples equipped with Nylon 1,010 gaskets showed no impact-induced decomposition reactions at <italic>H</italic> &#x2264; 1.1 m, with only small probabilities of reaction occurrence observed at <italic>H</italic> &#x3d; 1.2 m.</p>
<p>For samples without gasket protection, measured stress-time profiles corresponding to critical drop height conditions in <xref ref-type="table" rid="T8">Table 8</xref> were extracted and plotted in <xref ref-type="fig" rid="F20">Figure 20a</xref>. For drop heights of 0.9 m and 1 m, maximum stress curves under non-decomposition conditions were selected. Regarding gasket-equipped samples, three experimental stress-time profiles from the <italic>H</italic> &#x3d; 1.1 m condition in <xref ref-type="table" rid="T9">Table 9</xref> are shown in <xref ref-type="fig" rid="F20">Figure 20b</xref>.</p>
<fig id="F20" position="float">
<label>FIGURE 20</label>
<caption>
<p>Stress-time curve of large-scale drop hammer tests: <bold>(a)</bold> Unprotected samples at different drop heights; <bold>(b)</bold> Gasket-protected samples at drop height of 1.1 m.</p>
</caption>
<graphic xlink:href="fmats-12-1616537-g020.tif">
<alt-text content-type="machine-generated">Two graphs compare the stress over time for different conditions. Graph (a) shows stress for varying heights (0.9m to 1.1m), with peaks labeled at 748.90 MPa and 776.79 MPa. Graph (b) compares stress for different nylon materials and a no-gasket scenario, with peaks at 785.82 MPa, 782.29 MPa, and 802.00 MPa. The y-axis represents stress in megapascals (MPa), and the x-axis represents time in milliseconds (ms).</alt-text>
</graphic>
</fig>
<p>The experimental results demonstrate that the critical drop height threshold for impact-induced decomposition reactions in gasket-protected composite samples is significantly higher than in the unprotected state. Comparative analysis of the average axial stress on the surface of vulnerable samples in the drop hammer test reveals that the nylon gasket remains capable of effectively protecting the samples from impact-induced decomposition reactions, even under higher axial stress levels. Clearly, the gasket does not function by altering the actual magnitude of average stress, but rather improves the distribution of local stresses. This reduces the likelihood of localized thermal decomposition in energetic composites under simulated launch loads. The comparison of experimental results shows the optimally selected gasket material in this study indeed provides excellent protection for vulnerable composite materials subjected to low-amplitude, long-pulse dynamic loading conditions.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Through numerical simulation and large-scale drop hammer testing methodologies, this study investigates the impact protection mechanisms of engineering plastic gaskets on typical vulnerable components under low-amplitude, long-pulse dynamic loading conditions. The principal conclusions are as follows:<list list-type="simple">
<list-item>
<p>(1) The influence of gasket parameters on the stress in the bottom layer of the vulnerable component is presented. The <italic>&#x3c3;</italic>
<sub>z</sub> and <italic>&#x3c3;</italic> in the bottom layer of the vulnerable component with a gasket are influenced by the deformation capacity of the gasket material. Under the same <italic>&#x3bc;</italic>, the <italic>&#x3c3;</italic> value exhibits a trend of first decreasing and then increasing with the increase of the <italic>E</italic> of the gasket. This demonstrates a strong correlation with the magnitude of <italic>&#x3c3;</italic>
<sub>z</sub>. For different <italic>&#x3bc;</italic>, when the <italic>E</italic> of the gasket is small, its <italic>&#x3bc;</italic> is positively correlated with <italic>&#x3c3;</italic> and <italic>&#x3c3;</italic>
<sub>z</sub>. When the <italic>E</italic> of the gasket is large, its <italic>&#x3bc;</italic> has almost no effect on the <italic>&#x3c3;</italic> and <italic>&#x3c3;</italic>
<sub>z</sub>.</p>
</list-item>
<list-item>
<p>(2) The mechanism of the uniform and coordinated effect of the gasket on the bottom stress of the vulnerable component was revealed. The vulnerable component is protected under the launch load through deformation coordination by the gasket, which reduce the stress at the bottom of the vulnerable component, rather than through the mechanism of &#x201c;buffering&#x201d; or &#x201c;attenuation&#x201d;. Under the given <italic>&#x3bc;</italic>, the <italic>E</italic> of the gasket material has a deformation equilibrium point <italic>E</italic>
<sub>eq</sub>, which results in uniform distribution of <italic>&#x3c3;</italic> and <italic>&#x3c3;</italic>
<sub>z</sub>. At the same time, a stress coordination point <italic>E</italic>
<sub>sc</sub> is slightly greater than <italic>E</italic>
<sub>eq</sub>, which minimizes the peak <italic>&#x3c3;</italic> under the combined action of various stresses. Both <italic>E</italic>
<sub>eq</sub> and <italic>E</italic>
<sub>sc</sub> have values that are negatively correlated with the <italic>&#x3bc;</italic> of the gasket material. The disparity in deformation capabilities between the gasket and the vulnerable component leads to changes in the triaxial stress on the contact surface. This is the key to achieving stress homogenization and coordination in the bottom layer of the vulnerable component.</p>
</list-item>
<list-item>
<p>(3) The optimal parameter ranges for gasket materials are defined, and the protective effects of engineering plastic gaskets under low-amplitude, long-pulse dynamic loading conditions are experimentally validated. Materials within the recommended parameter ranges&#x2014;such as Nylon 1,010, high-density polyethylene (HDPE), low-density polyethylene (LDPE), and celluloid &#x2014; reduce the bottom layer von Mises stress in vulnerable components by over 34.4% compared with traditional metallic substrates. Additionally, using Nylon 1010 as the optimized material, comparative testing between unprotected and gasket-protected samples was conducted through large-scale drop hammer simulation experiments. This conclusively verifies the protective effectiveness of engineering plastic gaskets under low-amplitude, long-pulse dynamic loading conditions.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>FX: Validation, Software, Investigation, Writing &#x2013; original draft, Visualization, Writing &#x2013; review and editing. JJ: Writing &#x2013; review and editing, Methodology, Conceptualization. JM: Data curation, Writing &#x2013; review and editing, Methodology. SW: Methodology, Writing &#x2013; review and editing. ML: Writing &#x2013; review and editing, Investigation.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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