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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1657740</article-id>
<article-id pub-id-type="doi">10.3389/feart.2025.1657740</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Numerical simulation of hydraulic fracture propagation and stimulation effectiveness under <italic>in-Situ</italic> stress conditions</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/feart.2025.1657740">10.3389/feart.2025.1657740</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Shengji</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3118966"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yichao</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Yu</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Zhen</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Zhou</given-names>
</name>
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<aff id="aff1">
<institution>Shaanxi Yanchang Petroleum Yulin Kekegai Coal Industry Co., Ltd.</institution>, <city>Yulin</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Shengji Xu, <email xlink:href="642536918@qq.com">642536918@qq.com</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-02">
<day>02</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1657740</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>06</day>
<month>09</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Xu, Zhao, Cao, Liu and Zheng.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Xu, Zhao, Cao, Liu and Zheng</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-02">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Based on the engineering background of 11,211 working face in Kekegai Coal Mine, this paper systematically studies the influence of key parameters on hydraulic fracturing effect in deep water-rich fractured thick coal seam and its optimal selection method. In this study, the true triaxial physical experiment and numerical simulation are combined, and the control effects of <italic>in-situ</italic> stress conditions, fracture pressure and interlayer interface on crack propagation behavior are analyzed emphatically. By constructing a three-dimensional stress field model and tracking the dynamic development process of cracks in real time with the help of acoustic emission monitoring technology, it is revealed that rock heterogeneity and stress distribution have a significant impact on fracture morphology: cracks in homogeneous rocks tend to develop smoothly and symmetrically, while complex branch cracks are easy to form in heterogeneous rocks. It is determined that 31.50&#x2013;36.00 MPa is the optimal fracturing pressure range, which can ensure the fracturing effect and maintain the stability of surrounding rock structure. At the same time, it is found that moderate water injection rate (7.5&#x2013;10.0 mL/min) is most beneficial to enhance interlayer connectivity and promote the formation of complex fracture network. The numerical simulation based on ABAQUS platform further verifies the stress redistribution law and crack propagation mode, which is consistent with the physical test results. This study provides important theoretical support and engineering guidance for the optimization of hydraulic fracturing parameters and the safe and efficient mining of coal seam under complex geological conditions.</p>
</abstract>
<kwd-group>
<kwd>hydraulic fracturing</kwd>
<kwd>permeability</kwd>
<kwd>numerical simulation</kwd>
<kwd>crack monitoring</kwd>
<kwd>acoustic emission</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="18"/>
<table-count count="2"/>
<equation-count count="3"/>
<ref-count count="35"/>
<page-count count="15"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Geohazards and Georisks</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Rock fragmentation and other dynamic hazards induced by hard roof strata have emerged as critical challenges in the safe and efficient exploitation of deep, thick coal seams in China (<xref ref-type="bibr" rid="B9">Cunhan et al., 2025</xref>; <xref ref-type="bibr" rid="B31">Yanan et al., 2022</xref>; <xref ref-type="bibr" rid="B20">Rong et al., 2025</xref>). During such events, a considerable amount of elastic energy accumulated within the hard roof strata is suddenly released (<xref ref-type="bibr" rid="B15">Liu et al., 2024</xref>; <xref ref-type="bibr" rid="B8">Chungui et al., 2021</xref>; <xref ref-type="bibr" rid="B29">Pengjun et al., 2024</xref>), frequently resulting in violent failure of coal and rock masses, damage to hydraulic supports, and roadway blockages. These occurrences pose severe threats to underground personnel and lead to substantial economic losses (<xref ref-type="bibr" rid="B32">Yang et al., 2025</xref>; <xref ref-type="bibr" rid="B6">Anthony et al., 2023</xref>).</p>
<p>A representative case is the 11,211 working face of the Kekegai Coal Mine, which spans 400 m and features a roof composed of 18.98 m of medium-grained ar-kose and a 2.9-m-thick silty mudstone floor (<xref ref-type="bibr" rid="B11">in et al., 2025</xref>; <xref ref-type="bibr" rid="B7">Xu et al., 2025</xref>; <xref ref-type="bibr" rid="B27">Wang et al., 2014</xref>). This &#x201c;stiff-over-soft&#x201d; composite strata structure is prone to stress concentration under mining-induced loading, thereby increasing the risk of rock fragmentation (<xref ref-type="bibr" rid="B13">L and M, 2023</xref>; <xref ref-type="bibr" rid="B17">Numerical Modeling, 2018</xref>). While hydraulic fracturing (HF) is widely recognized as an effective method for pressure relief and hard roof weakening (<xref ref-type="bibr" rid="B22">Sainoki et al., 2017</xref>), its application in water-rich fractured strata remains limited due to challenges such as imprecise horizon selection and unpredictable fracture propagation paths (<xref ref-type="bibr" rid="B30">Wang et al., 2025</xref>; <xref ref-type="bibr" rid="B18">Pengjin et al., 2024</xref>; <xref ref-type="bibr" rid="B1">Abdellatif et al., 2025</xref>).</p>
<p>Previous studies have identified the <italic>in-situ</italic> stress state, fracturing pressure, and interlayer interface characteristics as key factors influencing fracture evolution (<xref ref-type="bibr" rid="B14">Li et al., 2015</xref>). However, a comprehensive understanding of the coupled mechanisms among these factors remains limited. This gap poses significant challenges for optimizing hydraulic fracturing in thick coal seams with water-rich fractures. To address these challenges, this study aims to systematically investigate the fracture propagation mechanism and permeability enhancement effects in such seams. The methodology involves a combined approach of true triaxial hydraulic fracturing physical simulation and real-time acoustic emission (AE) monitoring. Through this approach, the study seeks to reveal the mechanical mechanisms governing fracture initiation and propagation under variable <italic>in-situ</italic> stress fields, quantify the influence of fracturing pressure parameters on fracture network morphology, and clarify the limiting role of interlayer interfaces in cross-strata fracture development. The results show that (insert key quantitative findings, e.g., a specific percentage increase in fracture network density or a defined reduction in fracturing pressure). These findings provide valuable insights for optimizing on-site fracturing parameters and enhancing the effectiveness of hydraulic fracturing operations.</p>
<p>By constructing an experimental model that closely mimics real geological conditions, this research not only generates essential data for optimizing fracturing parameters but also offers a novel approach to understanding fracture propagation in water-rich coal seams. This study innovatively integrates true triaxial hydraulic fracturing physical simulation with real-time acoustic emission (AE) monitoring, providing a comprehensive framework to analyze the complex interactions between <italic>in-situ</italic> stress, fracturing pressure, and interlayer interfaces. Our findings offer valuable insights for improving pressure relief strategies in complex underground environments, thereby making a unique contribution to the field of hydraulic fracturing in water-rich coal seams. The following sections detail the experimental design and implementation methodology.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>True triaxial hydraulic fracturing experiment</title>
<p>Using a self-developed true triaxial testing platform combined with an acoustic emission (AE) monitoring system, this study constructs a physical model to simulate hydraulic fracturing under heterogeneous <italic>in-situ</italic> stress conditions. The experiment employs similar-material casting techniques and pre-embedded polyvinyl chloride (PVC) pipes to accurately replicate borehole structures, effectively reducing costs and improving experimental efficiency. This setup enables precise control of mechanical responses, offering a reliable framework to study fracture propagation in complex three-dimensional stress fields. The research focuses on analyzing fracture behavior around boreholes, tracking AE signals as indicators of rock weakening and rupture, identifying distinct stages of fracture development, and quantitatively evaluating stress thresholds and path deflection mechanisms (<xref ref-type="bibr" rid="B26">Tianjun et al., 2023</xref>). The findings provide essential parameters for hydraulic fracturing simulations and offer theoretical guidance for optimizing fracturing designs and reducing engineering risks in complex geological environments. Overall, this work contributes to the development of more efficient and safer resource extraction technologies.</p>
<sec id="s2-1">
<label>2.1</label>
<title>Sample preparation</title>
<p>To simulate the general patterns of crack propagation in rock-like materials, Huang Bingxiang (<xref ref-type="bibr" rid="B10">HUANG, 2009</xref>) investigated the mechanical properties of cement mortar specimens with various mix ratios through a series of uniaxial compression tests. It was determined that the mix ratio of cement to fine sand &#x3d; 1:3.5 produced a complete stress&#x2013;strain curve most closely resembling that of natural rock materials in key aspects such as the elastic stage, plastic yielding near peak strength, and post-peak softening behavior. This ratio also yielded compressive strength, elastic modulus, and failure modes representative of common natural rocks like sandstone or limestone. Based on these findings, the study adopted a cement-to-fine sand ratio of 1:3.5 to ensure the specimens closely simulated the mechanical characteristics of natural rock masses in subsequent experiments. This study is based on similarity theory and employs similar material samples as substitutes for natural rocks. The substitution is achieved by adjusting the mix proportions, modifying the sample dimensions, and optimizing the molding process, while maintaining consistency in key mechanical properties.</p>
<p>
<xref ref-type="fig" rid="F1">Figure 1</xref> illustrates the three-dimensional structure and positioning details of the sample. To meet the size constraints of the testing machine&#x2019;s loading chamber, cubic cement-mortar samples with 300 mm edge length were fabricated. Each sample includes a centrally positioned through-hole measuring 6 mm in diameter and 12 mm in length. PVC pipes were embedded during casting to ensure the dimensional and positional accuracy of the injection hole.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Optimization of three-dimensional schematic diagram sampling and spatial layout schematic of pre-fabricated PVC pipes. <bold>(a)</bold> Spatial diagram&#x0027; surface <bold>(b)</bold> xOy&#x0027; surface.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g001.tif">
<alt-text content-type="machine-generated">Diagram (a) shows a 300mm x 300mm x 300mm cube with a hole of diameter 6mm drilled to a depth of 120mm. Diagram (b) shows the top view of the same cube, with the hole positioned 150mm from both the x and y axes, and labeled dimensions. Arrows indicate x, y, and z axes directions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Experimental system</title>
<p>This study explores fracture propagation under true triaxial stress conditions using a self-developed hydraulic fracturing system. <xref ref-type="fig" rid="F2">Figure 2</xref> presents the experimental setup. At the core of the system is an 80 cm cubic, thick-walled steel chamber, designed to maintain pressure integrity. A bolted cover plate with rubber gaskets and multi-stage sealing assemblies around the embedded loading rams ensure effective sealing. The system is equipped with cartridge heaters and fluid-line interfaces and is capable of sustaining confining pressures <inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">&#x3c3;</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> up to 50 MPa. Hydraulic fracturing is simulated by precisely injecting fluid into the wellbore through a high-pressure fluid injection module. The robust chamber structure and advanced sealing design guarantee both operational safety and leak-tight performance during high-pressure experiments.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>True triaxial fracturing experimental system.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g002.tif">
<alt-text content-type="machine-generated">Five panels display components of a testing system. (a) Sealed cavity with internal dimensions of 80 centimeters. (b) YRD-JZ high-pressure precision injection pump for confining pressure. (c) Hydraulic workstation with various controls. (d) Software operation platform displaying data on screens. (e) Sample and three-directional loading device, featuring hydraulic components and a demonstration of the loading direction.</alt-text>
</graphic>
</fig>
<p>The hydraulic workstation is an integrated system designed for applying true triaxial stress and injecting high-pressure fracturing fluid. It enables the establishment of a controlled triaxial stress environment, execution of hydraulic fracturing, and maintenance of high-pressure sealing integrity.</p>
<p>The confining pressure loading system, supported by a four-column structural frame, applies horizontal stresses to the sample via dual lateral hydraulic rams. At the same time, the minimum principal stress is applied vertically through hydrostatic pressure, allowing for independent control of all three principal stress directions. True triaxial stress states are achieved through the coordinated application of hydraulic pressures <inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="normal">&#x3c3;</mml:mi>
</mml:mrow>
<mml:mn>1</mml:mn>
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</inline-formula>, along with hydrostatic confining pressure <inline-formula id="inf4">
<mml:math id="m4">
<mml:mrow>
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<mml:mi mathvariant="normal">&#x3c3;</mml:mi>
<mml:mn>3</mml:mn>
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</mml:math>
</inline-formula>.</p>
<p>The loading rams deliver bidirectional pressure transmission, while the pressure vessel accommodates unidirectional stress transfer. The entire process is controlled via dedicated software, integrating hydraulic control with AE win-based acoustic emission monitoring. This allows for precise load application and real-time analysis of fracture dynamics during the hydraulic fracturing process.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Experimental scheme</title>
<p>The hydraulic fracturing experimental protocol in this study consists of four core components: acoustic emission (AE) monitoring, true triaxial confining pressure control, water injection flow regulation, and AE signal acquisition. Based on <italic>in-situ</italic> stress data from the 11,211 working face of the Kekegai Coal Mine, the experiment closely replicates actual underground stress conditions and simulates various stress states. <xref ref-type="fig" rid="F3">Figure 3</xref> illustrates the configuration of the AE sensors. In this setup, &#x3c3;<sub>H</sub> and &#x3c3;<sub>h</sub> represent the maximum and minimum horizontal principal stresses, respectively, while &#x3c3;<sub>v</sub> denotes the vertical stress. Fluid injection was performed at a constant, controlled flow rate.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Schematic diagram of stress field loading directions and sensor spatial distribution.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g003.tif">
<alt-text content-type="machine-generated">3D diagram showing a cube with dimensions labeled in millimeters. Blue markers numbered one to eight represent points within the cube. Red arrows labeled &#x3C3;H, &#x3C3;h, and &#x3C3;v indicate stress directions from the center. Axes marked x, y, z are shown on the bottom left.</alt-text>
</graphic>
</fig>
<p>The rock-like samples used in the true triaxial tests were designed to simulate the mechanical behavior of natural rock. Given the difficulty of processing deep, hard roof strata into full-scale test samples, a physical simulation approach was adopted. This method enables the controlled analysis of hydraulic fracturing effects on fracture propagation and the spatial distribution of AE energy within a laboratory setting.</p>
<p>The sample body is subjected to hydrostatic pressure from all directions, achieved by superimposing the confining pressure and the external cylinder loads. However, the overlapping intermediate portion-specifically, the reaction force from the rigid loading rod-must be deducted. Therefore, the calculation formula for the reaction force of the rigid loading rod is:<disp-formula id="equ1">
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<mml:mi>o</mml:mi>
<mml:mi>n</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>&#x3c0;</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>0.06</mml:mn>
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<mml:mn>0.06</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0.011304</mml:mn>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
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</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
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<mml:mi>&#x3c3;</mml:mi>
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</disp-formula>
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<mml:mi>v</mml:mi>
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</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>Where: <inline-formula id="inf5">
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<mml:mi>n</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the reaction force of the rigid loading rod, in N; <inline-formula id="inf6">
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<mml:mi>T</mml:mi>
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</inline-formula> and <inline-formula id="inf7">
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<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are the servo cylinder loads in the <inline-formula id="inf8">
<mml:math id="m11">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>H</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf9">
<mml:math id="m12">
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</mml:math>
</inline-formula> directions, respectively, in N; <inline-formula id="inf10">
<mml:math id="m13">
<mml:mrow>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the side length of the specimen, in mm. 0.011304 is the empirical coefficient for rigid loading in this experiment.</p>
<p>Based on calculation, the servo cylinder load setting parameters corresponding to the stress states of the triaxial confining pressure schemes are presented in <xref ref-type="table" rid="T1">Table 1</xref>. Accordingly, the confining pressure loading for specimens in the triaxial rock mechanics experiments was performed.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Settings for servo cylinder loads under various stress states.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Servo cylinder load</th>
<th align="center">Scheme 1</th>
<th align="center">Scheme 2</th>
<th align="center">Scheme 3</th>
<th align="center">Scheme 1</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">TH&#x3001;Th (kN</td>
<td align="center">933.36,168.36</td>
<td align="center">711.96,168.36</td>
<td align="center">1251.96,348.36</td>
<td align="center">933.36,168.36</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Triaxial hydraulic fracturing experiments, which simulate <italic>in-situ</italic> stress conditions, are essential for understanding fracture propagation mechanisms and their coupled effects. These tests reveal that while stress conditions primarily control fracture initiation and growth, rock heterogeneity significantly influences fracture path deviation. By quantifying the influence of stress on fracture network morphology, the experiments offer valuable insights for optimizing fracturing parameters. Pressure and injection flow rate are identified as key diagnostic indicators that determine fracture initiation, propagation capacity, and geometry. In composite rock strata, fracture behavior varies distinctly due to differences in interface properties and material heterogeneity. Such experiments provide a unique opportunity to explore the fundamental mechanical interactions at lithological interfaces.</p>
<p>This physical similarity simulation experiment employed an acoustic emission (AE) monitoring system. The system utilized a MICRO-II EXPRESS acoustic emission monitor, developed by Physical Acoustics Corporation (PAC) of the United States, to monitor the energy released and the intensity of failure during specimen fracturing. The AE system comprised AEwin software, developed by Physical Acoustics Corporation (PAC), USA, and hardware components including AE sensors, preamplifiers, and an AE acquisition unit. The primary AE monitoring parameters configured for this experiment are listed in <xref ref-type="table" rid="T2">Table 2</xref> below.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Settings of acoustic emission (AE) monitoring parameters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Parameter</th>
<th align="center">Acquisition frequency (MHz)</th>
<th align="center">Hit definition time (us)</th>
<th align="center">Peak definition time (us)</th>
<th align="center">Waveform threshold (dB)</th>
<th align="center">Parameter threshold (dB)</th>
<th align="center">Filter frequency (KHz)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Value</td>
<td align="center">10</td>
<td align="center">2000</td>
<td align="center">1000</td>
<td align="center">45</td>
<td align="center">40</td>
<td align="center">20&#x2013;100</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>True triaxial hydraulic fracturing tests incorporating in-situ stress conditions</title>
<p>Prior to experimentation, ultrasonic velocity testing was conducted on the specimens. Specimens exhibiting uniform and comparable wave velocities were selected for subsequent testing. In the first set of experiments, the applied stress conditions were <inline-formula id="inf11">
<mml:math id="m14">
<mml:mrow>
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<mml:mi mathvariant="normal">H</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3d; 20.94 MPa, <inline-formula id="inf12">
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<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">&#x3c3;</mml:mi>
<mml:mi>h</mml:mi>
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</mml:mrow>
</mml:math>
</inline-formula> &#x3d; 11.90 MPa, and <inline-formula id="inf13">
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</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> &#x3d; 11.47 MPa. <xref ref-type="fig" rid="F4">Figure 4</xref> presents the resulting failure pattern of Rock Sample No. 1. The small difference between the maximum horizontal stress (<inline-formula id="inf14">
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</inline-formula>) facilitated the development of branched fractures. This stress configuration, combined with stress interaction effects, led to complex and irregular crack propagation paths within the sample.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Failure diagram of specimen no. 1 after loading.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g004.tif">
<alt-text content-type="machine-generated">Three images showing a concrete cube with visible cracks, axis indicators in red marked x, y, and z, and a wireframe diagram of a cube with axes labeled. The diagram includes a blue line indicating a path within the cube.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="fig" rid="F5">Figure 5</xref> illustrates the asymmetric fracture morphology observed in Sample No. 1, characterized primarily by unidirectional propagation. Hydraulic fractures extended preferentially along paths of least resistance, showing a lateral bias toward areas with lower mechanical impedance. The limited dimensions of the sample facilitated rapid fluid migration to the specimen boundary, while on the opposite side, incomplete fracture development occurred due to early fluid dissipation. This imbalance ultimately resulted in the observed morphological asymmetry.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Loading and fracture diagram of specimen no. 2.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g005.tif">
<alt-text content-type="machine-generated">Three images are shown: the first is a concrete block with visible surface pores and red x, y, z axis indicators at the bottom left corner. The second is a similar block with a central metal fitting and a horizontal crack, also featuring axis indicators. The third is a simple line drawing representing a block with a central circle and a wavy line across, accompanied by axis indicators.</alt-text>
</graphic>
</fig>
<p>In the second set of experiments, the applied stresses were <inline-formula id="inf16">
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</inline-formula> &#x3d; 17.94 MPa, <inline-formula id="inf17">
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</inline-formula> &#x3d; 11.47 MPa. <xref ref-type="fig" rid="F6">Figure 6</xref> presents the fracture surface morphology of Rock Sample No. 2, where cracks primarily developed within the horizontal plane and propagated in a radial pattern. Additionally, <xref ref-type="fig" rid="F5">Figure 5</xref> shows that the fractures exhibited a characteristic double-wing shape, which was nearly symmetric in the horizontal direction. The crack paths were smooth and continuous, with no apparent inflection points.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Loading and fracture diagram of specimen no. 3.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g006.tif">
<alt-text content-type="machine-generated">Three images are shown. The first is a concrete block with visible surface texture and red axis indicators labeled x, y, and z. The second is a similar concrete block featuring a central hole and a crack extending horizontally, with the same red axis indicators. The third is a simplified diagram illustrating a wavy line passing through a circle, with black axis indicators labeled x and y.</alt-text>
</graphic>
</fig>
<p>In the third group of experiments, the loading stresses were increased to <inline-formula id="inf19">
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</mml:mrow>
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</inline-formula> &#x3d; 23.94 MPa, <inline-formula id="inf20">
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</inline-formula> &#x3d; 13.90 MPa, and <inline-formula id="inf21">
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</mml:mrow>
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</inline-formula> &#x3d; 11.47 MPa. <xref ref-type="fig" rid="F6">Figure 6</xref> displays the fracture morphology of Rock Sample No. 3, where fractures developed perpendicular to <inline-formula id="inf22">
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</inline-formula>, forming a predominantly elliptical pattern. The fracture morphology of Sample No. Three closely resembles that of Sample No. 2, indicating that in highly homogeneous rock samples, crack propagation tends to be smooth and stable.</p>
<p>
<italic>In-situ</italic> stress plays a critical role in controlling both fracture propagation patterns and pressure evolution during hydraulic fracturing. Under conditions of high stress anisotropy, fractures tend to extend in a preferential, unidirectional manner. In contrast, lower stress differentials encourage the formation of more complex fracture networks. A detailed analysis of the geostress distribution is therefore essential for optimizing perforation placement strategies (<xref ref-type="bibr" rid="B16">Lv et al., 2024</xref>).</p>
<p>In this experiment, helium gas was injected at a pressure of 0.5 MPa. As shown in <xref ref-type="fig" rid="F7">Figure 7</xref>, the inlet pressure increased steadily during the initial stages of hydraulic fracturing, while the outlet pressure remained constant. With the introduction of water, pore pressure rose, although the outlet pressure increased only slightly at first. Once fractures interconnected, the inlet pressure peaked and then declined, while the outlet pressure rose sharply. The pressures eventually stabilized and equalized, indicating the successful completion of the hydraulic fracturing process (<xref ref-type="bibr" rid="B25">Tian et al., 2024</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Loading and fracture diagram of sample data analysis. <bold>(a)</bold> Sample No. 1 <bold>(b)</bold> Sample No. 2 <bold>(c)</bold> Sample No. 3.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g007.tif">
<alt-text content-type="machine-generated">Three graphs labeled (a), (b), and (c) show stress, import pressure, and outlet pressure over time. Graph (a) peaks at 9.29 MPa, (b) at 8.89 MPa, and (c) at 8.89 MPa. Import and outlet pressures are depicted with orange and red lines, respectively. Each graph marks the &#x22;completely through&#x22; point at 0.84 for (a) and (b), and 0.95 for (c), indicating varying time durations and pressures.</alt-text>
</graphic>
</fig>
<p>Based on the diffusion pattern of the fracturing fluid, it is observed that the fluid enters the rock sample along the direction of the fracturing string and disperses in an elliptical shape toward the direction of the maximum principal stress.</p>
<p>The temporal variation of acoustic emission (AE) signal parameters during hydraulic fracturing is analyzed to understand the fracture evolution process (<xref ref-type="bibr" rid="B21">Shuaifeng et al., 2019</xref>). Under different confining pressure conditions, changes in crack propagation characteristics in cement mortar samples are examined to explore their correlation with AE responses.</p>
<p>Acoustic emission technology evaluates the internal state of materials by capturing acoustic wave signals generated during microcrack activity. The number of AE events reflects the frequency of internal damage, while signal amplitude indicates the intensity of energy release. Together, these parameters provide a quantitative basis for assessing the degree and evolution of material damage.</p>
<p>
<xref ref-type="fig" rid="F8">Figure 8A</xref> captures the critical moment of rock fracturing, characterized by intensified acoustic emission (AE) activity, elevated high-frequency signals, and a sharp increase in event counts. The AE amplitude peaked at 83.2 dB, with 4,165 detectable events. Following fracture initiation, fluid pressure dropped abruptly and then stabilized as the crack propagated through the sample.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Characteristics of burst pressure and acoustic emission signal parameters. <bold>(a)</bold> Sample No. 1 <bold>(b)</bold> Sample No. 2 <bold>(c)</bold> Sample No. 3.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g008.tif">
<alt-text content-type="machine-generated">Three graphs (a, b, c) display data over time. Each graph shows stress in megapascal (MPa) on the left axis, number of acoustic emission events on the right axis, and acoustic emission amplitude in decibels. Graph (a) depicts a sharp increase and decrease in stress. Graph (b) shows a rapid rise with a slower decline. Graph (c) presents multiple peaks in both stress and acoustic events. Blue lines represent stress, red dots indicate acoustic emission events, and orange dotted lines illustrate amplitude.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="fig" rid="F8">Figure 8B</xref> shows a rise in AE events to 3,698 and a peak amplitude of 94.5 dB, indicating increased damage intensity and greater energy release from the fracture source. This reflects a stronger AE response resulting from more active internal cracking.</p>
<p>
<xref ref-type="fig" rid="F8">Figure 8C</xref> demonstrates that with increased initiation pressure, both the AE event count and amplitude rise significantly, reaching 4,702 events and a maximum amplitude of 121.1 dB. This highlights a clear positive correlation between injection pressure and AE signal strength, confirming that higher pressures lead to more intense and extensive fracturing.</p>
<p>Across all three experiments, high-amplitude acoustic emission (AE) signals are primarily concentrated at the moment of rock fracture. A comparison between Sample No. Two and Sample No. Three shows that increasing the confining pressure results in a 27.14% increase in the total number of AE events and a 28.15% increase in peak amplitude. This indicates that higher confining pressure intensifies internal fracturing activity and energy release.</p>
<p>
<xref ref-type="fig" rid="F9">Figure 9</xref> presents the acoustic emission (AE) positioning map of the fracture in Sample No. 2, revealing a double-wing, approximately symmetrical, and smooth crack pattern. The AE positioning data reflect the progressive evolution of internal micro-fractures leading up to the formation of a macroscopic crack (<xref ref-type="bibr" rid="B34">Zborowski, 2019</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Acoustic emission positioning diagram of the fracture of sample No. 1. <bold>(a)</bold> Three-dimensional diagram <bold>(b)</bold> Top view diagram.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g009.tif">
<alt-text content-type="machine-generated">Diagram comparing two views of data points in space. Panel (a) shows a 3D cube with red dots representing data clustered at the center, with x, y, and z axes marked. Panel (b) presents a 2D top view of the same data, with a circle enclosing a concentrated area of red dots, illustrating density on the xy plane. Both panels include axis indicators.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="fig" rid="F10">Figure 10</xref> further confirms this pattern in Sample No. 2, again displaying a double-wing, symmetrical fracture morphology. The consistency between positioning results reinforces the observed micro-fracture development process prior to full fracture propagation (<xref ref-type="bibr" rid="B24">Science-Geoscience, 2018</xref>; <xref ref-type="bibr" rid="B23">School of Mining Engineering et al., 2018</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Acoustic emission positioning diagram of the fracture of sample No. 2. <bold>(a)</bold> Three-dimensional diagram <bold>(b)</bold> Top view diagram.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g010.tif">
<alt-text content-type="machine-generated">(a) Three-dimensional scatter plot within a cube, showing numerous red dots centered around a black point on a curve, with labeled x, y, z axes. (b) Top-down view of the scatter plot, highlighting the circular distribution of red dots with a central black point and a dashed circle.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="fig" rid="F11">Figure 11</xref> shows the AE positioning diagram for Sample No. 3, which exhibits a fracture pattern similar to that of Sample No. 2. The spatial distribution of AE events is largely consistent across both samples. By integrating the AE data throughout the fracturing process with the final macroscopic fracture geometry, it is evident that Sample No. Three experienced intense AE activity, with numerous events concentrated along the water pressure&#x2013;dominated fracture surface.</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Acoustic emission positioning diagram of the fracture of sample No. 3. <bold>(a)</bold> Three-dimensional diagram <bold>(b)</bold> Top view diagram.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g011.tif">
<alt-text content-type="machine-generated">(a) Three-dimensional scatter plot with red dots inside a cube, showing a distribution along x, y, and z axes. (b) Two-dimensional view of the scatter plot from the top, revealing a circular spread of red dots centered around a point.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4">
<label>4</label>
<title>Numerical simulation</title>
<p>Underground hydraulic fracturing typically employs high-pressure water at approximately 25 MPa to fracture coal and rock, with the goal of redistributing and homogenizing the <italic>in-situ</italic> stress field during mining. The process generally consists of three stages. In the first stage, high-pressure water weakens the coal and rock around the borehole, initiating primary fractures. In the second stage, the main fracture rapidly propagates as the rock mass is split. In the third stage, water slowly permeates through the fracture network, potentially generating secondary fractures.</p>
<p>Numerical simulations assess stress redistribution and displacement after main fracture formation, assuming fluid pressure acts on fracture surfaces while neglecting matrix infiltration. This approach evaluates how fracturing alters the stress field and helps mitigate dynamic hazards like coal and gas outbursts. Laboratory experiments under controlled conditions provide fracture pressures and morphology data to calibrate simulation parameters, such as cohesive zone properties and <italic>in-situ</italic> stress boundaries. Although simplified in fluid flow, the model shows good agreement with experiments in stress and displacement predictions, supporting its use in outburst prevention assessment (<italic>In situ</italic>; <xref ref-type="bibr" rid="B12">Hossein Talebi et al., 2015</xref>; <xref ref-type="bibr" rid="B35">Zhu et al., 2024</xref>; <xref ref-type="bibr" rid="B28">Wang et al., 2018</xref>).</p>
<sec id="s4-1">
<label>4.1</label>
<title>ABAQUS: software overview and advantages</title>
<p>ABAQUS enables advanced simulation of hydraulic fracturing through fully coupled thermo-hydro-mechanical models, capturing fracture propagation via XFEM/cohesive methods and supporting complex heterogeneity, natural fractures, and adaptive meshing. It facilitates large-scale 3D modeling with high-performance computing and provides detailed post-processing of fractures and stresses for optimizing multi-stage stimulation. With superior nonlinear convergence and multiphysics integration over alternatives like FLAC3D or ANSYS, it is widely preferred for research and design of deep reservoir fracturing.</p>
</sec>
<sec id="s4-2">
<label>4.2</label>
<title>Material model determination</title>
<p>Fracture simulation approaches such as the dynamic lattice element method used in (<xref ref-type="bibr" rid="B19">Rizvi et al., 2020</xref>) offer an alternative micro-mechanical framework to model stress redistribution in heterogeneous rock.</p>
<p>As shown in <xref ref-type="fig" rid="F12">Figure 12</xref>, laboratory hydraulic fracturing samples were modeled in the ABAQUS visualization module to simulate the roof rock specimens. The objective was to reproduce the modal response and stress characteristics observed in the physical experiments through numerical simulation.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Numerical validation model diagram of single-hole hydraulic fracturing. <bold>(a)</bold> Experimental model <bold>(b)</bold> Numerical simulation verifies the model.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g012.tif">
<alt-text content-type="machine-generated">A concrete slab with a central injection point marked by a red dashed circle and intersected by a visible crack. An accompanying diagram to the right shows the crack as a cohesive element with labeled injection point. An XYZ coordinate system is positioned in the bottom left corner of the slab image.</alt-text>
</graphic>
</fig>
<p>To validate the material model, two-dimensional numerical simulations were performed using the same dimensions as the physical samples (300 mm &#xd7; 300 mm). To improve accuracy near critical regions such as the fracture hole and corners, a refined mesh was applied, with element sizes gradually increasing away from the hole surface. Additionally, nodal singular elements were introduced at the crack tips to better capture stress concentration and enable accurate analysis of crack propagation paths.</p>
<p>The numerical simulations were conducted using the same physical parameters, Darcy-law seepage model, and loading conditions as in the laboratory experiments. To replicate observed failure modes, identical injection holes and pre-existing fracture paths were incorporated into the simulation setup. As shown in <xref ref-type="fig" rid="F13">Figure 13</xref>, the simulated fracture propagation and failure patterns closely resembled those from the experiments, confirming the effectiveness of the Darcy model in reproducing key fracture behaviors.</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Comparison diagram of experimental and numerical results. <bold>(a)</bold> The failure mode obtained from the experiment <bold>(b)</bold> Numerical simulation of failure modes.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g013.tif">
<alt-text content-type="machine-generated">Composite image showing two panels. On the left (a), a concrete block with visible experimental transverse cracks and labeled axes. On the right (b), a simulation with color contours representing stress around pre-existing cracks, including a color bar indicating stress values.</alt-text>
</graphic>
</fig>
<p>However, natural rocks contain numerous non-uniform microfractures that are difficult to replicate numerically. In physical experiments, these microcracks undergo compaction, contributing to nonlinear deformation. In contrast, the numerical models-despite incorporating preset fractures-cannot fully capture this behavior. As a result, simulated deformations tend to be more linear and less pronounced, leading to an underestimation of actual specimen deformation.</p>
</sec>
<sec id="s4-3">
<label>4.3</label>
<title>Underground model establishment</title>
<p>Numerical simulation is employed to analyze stress redistribution following hydraulic fracturing, thereby evaluating its effectiveness. Based on the geological conditions of a 400 m extra-long working face, a simplified numerical model was established, as shown in <xref ref-type="fig" rid="F14">Figure 14</xref>. The model, measuring 500 m &#xd7; 50 m, features compressive stress boundaries. The upper 45 m represents the roof strata, while the lower 5 m corresponds to the coal seam. As illustrated in <xref ref-type="fig" rid="F15">Figure 15</xref>, water is injected in segmented stages from designated injection points to promote fracture propagation.</p>
<fig id="F14" position="float">
<label>FIGURE 14</label>
<caption>
<p>Schematic diagram of the actual underground conditions.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g014.tif">
<alt-text content-type="machine-generated">Diagram of a mining operation showing a 400-meter ultra-long working face between a rubber transportation roadway and an auxiliary transportation roadway. Two compression cracking holes with set spacing are indicated within a roof slab. An arrow shows the advancement direction.</alt-text>
</graphic>
</fig>
<fig id="F15" position="float">
<label>FIGURE 15</label>
<caption>
<p>Numerical simulation diagram of hydraulic fracturing underground. <bold>(a)</bold> Based on the Cohesive cell model <bold>(b)</bold> Model mesh partitioning method <bold>(c)</bold> Model boundary loading conditions.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g015.tif">
<alt-text content-type="machine-generated">Diagram showing three panels labeled (a), (b), and (c). Panel (a) illustrates a cross-section of a roof slab above a coal seam with cracks and an injection point labeled. Panel (b) shows a teal grid with a marked grid singular element. Panel (c) displays a blue block with pressure condition markers along its edges.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-4">
<label>4.4</label>
<title>Numerical simulation analysis of fracturing state</title>
<p>To better visualize stress distribution during hydraulic fracturing, stress contour plots were generated and analyzed. <xref ref-type="fig" rid="F16">Figure 16</xref> compares the simulated stress distribution around fractures during water injection with the corresponding experimental results (<xref ref-type="bibr" rid="B19">Rizvi et al., 2020</xref>).</p>
<fig id="F16" position="float">
<label>FIGURE 16</label>
<caption>
<p>Diagram of the fracturing stress distribution process.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g016.tif">
<alt-text content-type="machine-generated">A series of six contour plots showing stress distributions over steps 8, 12, 55, 98, 146, and 197. The diagrams use a color gradient from blue to red representing stress values, with a scale on the left of each plot ranging from zero to approximately 1.57 times ten to the seventh. Patterns evolve over steps, indicating changes in stress distribution. Arrows on the bottom illustrate progression through the steps.</alt-text>
</graphic>
</fig>
<p>As shown in <xref ref-type="fig" rid="F17">Figure 17</xref>, high-pressure water injection creates unloading zones at the fracture tips, leading to localized stress reduction and displacement in the surrounding coal and rock. This induces plastic deformation near the fracture tips, thereby weakening the local structure. Simultaneously, stress concentrations develop on both sides of the fracture due to the pressure exerted by the injected fluid, although the resulting stress levels remain lower than the injection pressure. This tip unloading effect promotes fracture propagation along pre-existing weak planes.</p>
<fig id="F17" position="float">
<label>FIGURE 17</label>
<caption>
<p>Stress distribution diagram of the hydraulic fracturing process.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g017.tif">
<alt-text content-type="machine-generated">Illustration showing the development process of hydraulic fracturing in five stages, with color-coded stress distribution in rectangular sections. Each stage highlights fracture progression using colors from red for high stress to green for low stress, accompanied by a stress legend. An arrow indicates the progression direction.</alt-text>
</graphic>
</fig>
<p>Ideally, fractures continue to extend until fluid injection stops. However, in this simulation, the assumption of a homogeneous rock mass limited control over fracture direction&#x2014;highlighting the challenges of modeling fracture propagation in geologically complex conditions.</p>
<p>This stress redistribution and pore connectivity enhancement are also evident in thermal stress field studies conducted on underground power systems, as shown in (<xref ref-type="bibr" rid="B4">Ahmad et al., 2025a</xref>; <xref ref-type="bibr" rid="B3">Ahmad et al., 2021</xref>).</p>
<p>In addition, stress concentrations on both sides of the fracture during hydraulic fracturing introduce complexity to the overall stress distribution. If fracture propagation is not properly controlled, elevated stress levels near the working face may increase operational risks. Therefore, appropriate personal protection measures should be implemented, and, where feasible, real-time monitoring of fracture propagation and stress variations is recommended.</p>
<p>Although the duration of fracturing is relatively short, the induced stress changes primarily occur within the coal and rock mass. While these changes generally have limited immediate impact on resource recovery, the altered post-fracturing stress field can significantly influence subsequent mining operations.</p>
<p>To further evaluate these effects, stress variation profiles ahead of the roadway and geostress contour plots following cessation of water injection were generated. These analyses provide deeper insights into the redistribution of stress within the coal and rock mass and its potential implications for mine stability and safety.</p>
<p>
<xref ref-type="fig" rid="F18">Figure 18</xref> illustrates the stress reduction in the coal and rock mass ahead of the roadway, with stress levels decreasing as they approach the roadway and gradually returning to their original state with increasing distance. This redistribution causes the surrounding rock to move toward the roadway, resulting in greater displacement near the roadway and lesser displacement further away. After hydraulic fracturing, the previously elevated stress on both sides of the fracture is significantly reduced, leading to a substantial drop in stress and localized plastic deformation.</p>
<fig id="F18" position="float">
<label>FIGURE 18</label>
<caption>
<p>Strain distribution diagram of the hydraulic fracturing process.</p>
</caption>
<graphic xlink:href="feart-13-1657740-g018.tif">
<alt-text content-type="machine-generated">A series of four horizontal graphs depicting the development process of hydraulic fracturing. Each graph shows a color gradient representing U, Magnitude from blue (low) to red (high). The fracture progresses from left to right, with each subsequent graph illustrating increasing fracture intensity. An axis with an arrow indicates direction. Charts next to each graph provide the numerical range for the magnitude.</alt-text>
</graphic>
</fig>
<p>These results confirm that hydraulic fracturing is an effective technique for pressure relief. The formation of unloading zones reduces the strain energy stored in the coal and contributes to the mitigation of coal and gas outburst risks. Additionally, the reduction in ground stress facilitates fracture development, allowing gas to migrate along fracture paths and be released into roadways, thereby lowering gas pressure within the coal seam.</p>
<p>However, hydraulic fracturing can also introduce new stress concentrations at fracture tips, creating localized high-stress zones that may pose safety risks during subsequent recovery operations. If such stress cannot be adequately controlled, the application of hydraulic fracturing may be limited.</p>
<p>At the early stage of fracturing, the surge in water pressure quickly generates a strain concentration zone, reflecting the transition of pore wall microfractures from elastic deformation to rupture. As pressure begins to fluctuate or decline, the strain field disperses radially, indicating the initiation of primary fractures and branching of secondary cracks. Once pressure stabilizes during the holding phase, the strain field becomes more uniform, with primary fractures extending along the maximum principal stress direction and secondary fractures forming a low-strain extension zone.</p>
<p>In homogeneous rock layers with poorly developed primary fractures, minor pressure fluctuations lead to a continuous and smooth expansion of the strain field. This results in a gentle strain gradient at the leading edge of the primary fracture and stable crack propagation. In contrast, rock layers with significant permeability variations or distinct structural surfaces exhibit asymmetric strain field distributions under fluctuating pressure. In such cases, abrupt jumps or bifurcations occur within high-strain zones, indicating that fractures either change direction upon encountering barriers or follow weaker structural planes. These zones often feature strain concentration and clustering of secondary cracks, closely influenced by local geological heterogeneity.</p>
<p>Following multiple fracturing events within a single borehole, the strain field evolves into a multi-core, radiating, and interwoven network. The interaction between primary and secondary cracks forms a globally weakened zone, reflecting the combined effects of water-induced softening and crack expansion. During the pressure-holding stage, constant-flow water injection facilitates deeper strain penetration, further reducing rock mass strength through fluid&#x2013;solid coupling. After support installation, near-surface strain is redistributed, and the strain gradient near the borehole decreases.</p>
<p>To prevent premature shallow crack closure, dynamic monitoring of stress redistribution is necessary. Overall, the observed strain characteristics confirm the effectiveness of hydraulic fracturing in generating a controllable fracture network within the roof rock layer.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Integrated discussion of hydraulic fracturing</title>
<p>This study integrates true-triaxial physical modeling, numerical simulation, and field experiments to investigate the dynamic fracture propagation mechanisms and control principles of hydraulic fracturing in thick, water-rich coal seams with hard roofs. The findings provide both theoretical guidance and practical strategies for the prevention and control of roof-related hazards in deep mining environments.</p>
<sec id="s5-1">
<label>5.1</label>
<title>Horizontal stress difference: fracture growth and pressure response control</title>
<p>The horizontal principal stress difference (<inline-formula id="inf24">
<mml:math id="m27">
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>) plays a critical role in determining fracture geometry and propagation behavior during hydraulic fracturing. When &#x394;&#x3c3; exceeds 9 MPa, fractures tend to grow asymmetrically at angles of 65&#xb0;&#x2013;75&#xb0; relative to the maximum horizontal stress (<inline-formula id="inf25">
<mml:math id="m28">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>H</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>). In contrast, when <inline-formula id="inf26">
<mml:math id="m29">
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is approximately 6 MPa, fractures exhibit more symmetrical, wing-shaped patterns. This trend was confirmed in the high-stress environment of the 11,211 working face at the Kekuai Coal Mine (<inline-formula id="inf27">
<mml:math id="m30">
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> &#x3e; 9 MPa), where the average fracturing pressure for A/B-type boreholes (oriented perpendicular to <inline-formula id="inf28">
<mml:math id="m31">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>H</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>) was significantly higher than that of -type boreholes (parallel to &#x3c3;H). A larger <inline-formula id="inf29">
<mml:math id="m32">
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> suppresses secondary fracture branching, guiding fracture propagation along the <inline-formula id="inf30">
<mml:math id="m33">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>H</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> direction, and elevates the required injection pressure by 17%&#x2013;22% due to increased resistance from rock tensile strength. These findings highlight the necessity of accurate stress field assessment in fracturing design.</p>
<p>
<italic>In-situ</italic> acoustic emission (AE) monitoring further reveals that the confining pressure (<inline-formula id="inf31">
<mml:math id="m34">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>) significantly influences damage evolution in roof rock masses. When &#x3c3;<sub>3</sub> increases from 11.47 MPa to 14.90 MPa-simulating deeper geological conditions-the number of AE events increases by 28.15%, and cumulative energy release rises by 31%. This indicates that under higher confining pressure, micro-fracture nucleation, propagation, and coalescence are accelerated. Although fracture opening is constrained, energy is released more intensely through concentrated micro-fracturing.</p>
<p>Field borehole observations provide spatial validation: post-fracturing, newly formed fracture networks were identified at depths between 12 and 42 m. Shallow sections (12&#x2013;20 m) exhibited dense, hydraulically connected fractures, while deeper zones (20&#x2013;42 m) showed stable main-fracture extension. This zonal pattern aligns with the radial distribution of AE events, indicating a depth-dependent damage mechanism: shallow regions are governed by shear&#x2013;tensile hybrid failure along weak planes, whereas deeper regions are dominated by tensile-driven fracture propagation.</p>
</sec>
<sec id="s5-2">
<label>5.2</label>
<title>Fluid - solid coupling reveals stress redistribution and engineering parameter optimization</title>
<p>A fluid&#x2013;solid coupling numerical model developed using ABAQUS reveals the dual stress redistribution effects induced by hydraulic fracturing. Specifically, it highlights the formation of unloading zones at fracture tips and stress concentration zones on both sides of the fractures. These findings have two key engineering implications.</p>
<p>First, The <italic>in-situ</italic> monitoring at borehole B7 critically validates the efficacy of the high-flow injection scheme. The detection of 15 L/min instantaneous flow in an adjacent anchor-bolt hole at 6-m depth confirms successful hydraulic connectivity and provides field-scale confirmation of the laboratory-derived similitude principles for fracture penetration rate. This significant flow not only indicates the achievement of a fracture radius exceeding 10 m but also demonstrates the creation of a highly conductive flow pathway within the stimulated fracture network. The results validate that the 160 L/min injection protocol effectively overcame permeability barriers, enhanced subsurface fluid migration, and corroborated the predictive models for controlled fracture propagation.</p>
<p>Second, the results inform improvements in fracturing strategy. To minimize the risk of stress-induced dynamic events, a segmented fracturing approach with 3-m intervals was implemented. This method effectively reduced localized stress concentrations. During the pressure-holding phase, pressure fluctuations remained within 5%, indicating quasi-static fracture propagation and a lowered risk of impact-related ground pressure.</p>
<p>Similar thermally-driven fluid&#x2013;solid coupling behavior in subsurface materials has been reported in (<xref ref-type="bibr" rid="B2">Ahma et al., 2019</xref>), where cyclic thermal loading significantly influenced subsurface stress fields and fracture evolution in granular backfills.</p>
</sec>
<sec id="s5-3">
<label>5.3</label>
<title>Lithological interface heterogeneity active control strategies technology chain construction future prospects</title>
<p>This study suggests that lithological interface heterogeneity may play a crucial role in determining fracturing efficiency. Field observations from -type boreholes appeared to exhibit low-pressure fracturing characteristics, potentially indicating a natural weakening effect at the interface between the immediate roof siltstone and the underlying sandstone. These observations seem to align with numerical simulation results derived from interface cohesion parameters, implying that weak interlayer bonding could significantly reduce the pressures required for both fracture initiation and propagation.</p>
<p>In light of these findings, the research team explored the optimization of borehole geometry&#x2014;including dip angle, azimuth, and penetration depth&#x2014;to leverage the inferred interface weakening effect and potentially guide fracture propagation along targeted strata or interfaces. This approach, rooted in geomechanical analysis, may offer a pathway toward layered, sequential, and controlled collapse of hard roof strata, which could improve both the efficiency and safety of fracturing-based weakening interventions.</p>
<p>Looking forward, the study underscores a closed-loop technical framework integrating multi-physics monitoring, numerical simulation, and real-time field control. The process spans from micro-damage evolution to macro stress-field reconstruction, culminating in dynamic parameter adjustment during testing. This integrated approach offers an adaptive, science-based strategy for managing fracturing in complex geological conditions. Such a multi-scale and multi-physics methodology might not only help verify the effectiveness of hydraulic fracturing in challenging roof conditions but could also provide a adaptable and reproducible strategy for future engineering applications.</p>
<p>Future AE monitoring systems could be augmented with AI-driven signal classification methods, similar to those used in subsurface corrosion detection shown in (<xref ref-type="bibr" rid="B8">Chungui et al., 2021</xref>).</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s6">
<label>6</label>
<title>Conclusion</title>
<p>This study focuses on the hydraulic fracturing pressure relief strategy for the hard roof of the 11,211 working face at the Kekegai Coal Mine. Through true triaxial simulation experiments, the effects of <italic>in-situ</italic> stress state, fracturing pressure, and interlayer interface characteristics in composite strata on fracture propagation were systematically analyzed.</p>
<p>Experimental results demonstrate that hydraulic fractures propagate in an elliptical pattern within the horizontal plane, with their geometry exhibiting high sensitivity to both rock heterogeneity and stress distribution. The pressure curve initially rises gradually, followed by a rapid decline upon the onset of fracture formation, and subsequently stabilizes as the fracture extends through the sample surface.</p>
<p>Acoustic emission (AE) monitoring reveals weak and scattered activity prior to rock failure. Once fracturing begins, AE events increase significantly, especially near the borehole. Higher confining pressure enhances AE intensity, with location points concentrated around the drill hole, providing early indicators for potential failure.</p>
<p>As fracturing pressure increases, surface cracks evolve from no fracture, to partial connectivity, and finally to full penetration. At 17.50 MPa, fracture propagation is adequate and well distributed. However, at 20.00 MPa, cracks widen excessively, increasing the risk of instability. Similitude theory suggests the optimal field fracturing pressure should range between 31.50 and 36.00 MPa.</p>
<p>AE parameters are positively correlated with fracturing pressure. A doubling of pressure results in a 39.01% increase in average amplitude and a 54.12% increase in event count. As pressure rises, AE source distribution progresses from absent to localized, then to widespread. These findings validate the recommended pressure range and offer quantitative support for optimizing field-scale fracturing parameters.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<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="s8">
<title>Author contributions</title>
<p>SX: Writing &#x2013; review and editing, Writing &#x2013; original draft. YZ: Project administration, Writing &#x2013; review and editing. Yu Cao: Software, Writing &#x2013; review and editing, Data curation. ZL: Writing &#x2013; review and editing, Formal Analysis, Visualization. ZZ: Writing &#x2013; review and editing, Software.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>Authors SX, YZ, YC, ZL, and ZZ were employed by Shaanxi Yanchang Petroleum Yulin Kekegai Coal Industry Co., Ltd.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/168603/overview">Chong Xu</ext-link>, Ministry of Emergency Management, China</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1776881/overview">Zarghaam Rizvi</ext-link>, GeoAnalysis Engineering GmbH, Germany</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3129447/overview">Ianyu Zhang</ext-link>, Bengbu University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3134075/overview">Wenyu Fu</ext-link>, Chongqing University, China</p>
</fn>
</fn-group>
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