International Journal of Rock Mechanics and Mining Sciences最新文献

筛选
英文 中文
Acoustic emission source localization in complex rock structures using sparse-grid fast path tracing method 基于稀疏网格快速路径跟踪方法的复杂岩石结构声发射源定位
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-28 DOI: 10.1016/j.ijrmms.2025.106252
Jiong Wei , Jingren Zhou , Fuqiang Gao , Jinfu Lou , Tianhong Yang
{"title":"Acoustic emission source localization in complex rock structures using sparse-grid fast path tracing method","authors":"Jiong Wei ,&nbsp;Jingren Zhou ,&nbsp;Fuqiang Gao ,&nbsp;Jinfu Lou ,&nbsp;Tianhong Yang","doi":"10.1016/j.ijrmms.2025.106252","DOIUrl":"10.1016/j.ijrmms.2025.106252","url":null,"abstract":"<div><div>Accurate localization of acoustic emission (AE) sources is critical for identifying precursor information of rock failure. However, achieving high localization accuracy in complex rock structures remains challenging. This study presents a novel three-dimensional AE source localization method suitable for rock masses with underground caverns. The proposed approach integrates a sparse-grid octree structure with a line-of-sight-based path optimization algorithm, effectively addressing path tracing errors caused by geometry-grid misalignment and narrow geological features through localized mesh refinement. Synthetic tests using a room-and-pillar model indicate that the method significantly improves wave path tracing accuracy and localization precision compared to the improved A∗ algorithm, while reducing computational cost by 98 %. Field application in a mine with extensive caverns confirms that the method effectively resolves mislocalization issues inherent in the straight-path method, yielding microseismic event locations consistent with observed collapse zones, while maintaining high accuracy even with fewer sensors. These results demonstrate the robustness, efficiency, and practical value of the proposed method for source localization in complex rock engineering environments.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106252"},"PeriodicalIF":7.5,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Bayesian reliability methodology for rock structures considering uncertainties in random field characteristics with limited data of rock properties 考虑随机场特征不确定性的岩石结构贝叶斯可靠度方法
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-21 DOI: 10.1016/j.ijrmms.2025.106249
Akshay Kumar, Gaurav Tiwari
{"title":"A Bayesian reliability methodology for rock structures considering uncertainties in random field characteristics with limited data of rock properties","authors":"Akshay Kumar,&nbsp;Gaurav Tiwari","doi":"10.1016/j.ijrmms.2025.106249","DOIUrl":"10.1016/j.ijrmms.2025.106249","url":null,"abstract":"<div><div>Cross-correlated Random Fields (RFs) are often used to simulate the spatial variability of cross-correlated inputs based on the statistical characteristics of RF like auto-correlation functions, cross-correlation structures, and marginal models. Precise estimation of these RF characteristics is often impractical in rock engineering due to limited site-specific data invoking epistemic uncertainties along them. This study proposes a Bayesian Multi-Model Inference (BMMI) coupled with 2D cross-correlated non-normal RF methodology to consider the spatial variation of copula dependent rock properties using their limited data. The proposed methodology constructs the model sets of RF statistical characteristics using BMMI, representing the epistemic uncertainties in the model selection and their parameters along them. Expansion Optimal Linear Estimation (EOLE) method is then used to discretize the RFs for every combination of the model sets which is finally coupled with Fast Lagrangian Analysis of Continua (FLAC)-2D to perform the reliability analysis. The methodology is illustrated for an example rock slope situated within a heavily jointed rock mass susceptible to stress-controlled circular. In addition to this analysis, a traditional cross-correlated non-normal RF analysis is also conducted by ignoring the epistemic uncertainties in the statistical characteristics of RF to assess the impact of these uncertainties. The proposed methodology was concluded to be more effective than the traditional methodology as it is capable of accounting for the spatial variability of copula dependent inputs along with the epistemic uncertainties along them emanating due to their limited data. Proposed methodology provides the confidence interval of reliability index encompassing its fixed-point estimate from the traditional RF analysis, thereby enhancing practitioner's understanding of structural responses.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106249"},"PeriodicalIF":7.5,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Permeability enhancement of reservoir rocks loaded by repeated low-amplitude stress waves 重复低振幅应力波作用下储层岩石渗透率增强研究
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-20 DOI: 10.1016/j.ijrmms.2025.106243
Zheng Wang , Geli Zhao , Yachen Xie , Bangbiao Wu , Kaiwen Xia
{"title":"Permeability enhancement of reservoir rocks loaded by repeated low-amplitude stress waves","authors":"Zheng Wang ,&nbsp;Geli Zhao ,&nbsp;Yachen Xie ,&nbsp;Bangbiao Wu ,&nbsp;Kaiwen Xia","doi":"10.1016/j.ijrmms.2025.106243","DOIUrl":"10.1016/j.ijrmms.2025.106243","url":null,"abstract":"<div><div>Wave-based loading techniques have been proposed as a potential method for the enhancement of permeability in deep reservoirs, yet the mechanisms governing permeability changes in reservoir rocks under repeated stress wave (RSW) loading remain unclear. This study addresses this gap by employing a modified triaxial split Hopkinson pressure bar (TSHPB) system to simulate coupled hydraulic-mechanical (CHM) conditions and repeated stress wave loading on green sandstone (GS) specimens. In situ permeability measurements are conducted following each impact, with dissipated energy calculated to quantify specimen damage. Experimental results reveal a positive correlation between permeability and dissipated energy, with significant permeability enhancement under RSW loading. Initially, permeability increases with repeated impacts, later stabilizing after a gradual decline. Elevated differential water pressure and decreased confining pressure facilitate crack extension, enhancing permeability, while dissipated energy inversely correlates with these CHM conditions. To model these changes, a micromechanical model incorporating fracture mechanics and the equivalent pore concept is developed, accurately predicting permeability evolution by correlating crack length and pore size with dissipated energy. The model's predictions align closely with experimental data, enhancing understanding of RSW on permeability evolution, and offering a predictive framework to optimize permeability in resource recovery applications.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106243"},"PeriodicalIF":7.5,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Physical model study of rock scour in unlined rock spillways 无衬砌溢洪道岩石冲刷物理模型研究
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-19 DOI: 10.1016/j.ijrmms.2025.106229
Michael F. George , Nicholas Sitar
{"title":"Physical model study of rock scour in unlined rock spillways","authors":"Michael F. George ,&nbsp;Nicholas Sitar","doi":"10.1016/j.ijrmms.2025.106229","DOIUrl":"10.1016/j.ijrmms.2025.106229","url":null,"abstract":"<div><div>Scour of rock by flowing water is an integral process in the evolution of natural landscapes as well as a critical hazard for key infrastructure such as dams, spillways, bridges and tunnels. The removal of individual blocks of rock is one of the primary mechanisms by which rock scour can occur. Field investigation of a prototype unlined rock spillway site in the Sierra Nevada Mountains in northern California was used as a basis for the development of an extensive series of physical model experiments, which were complemented by theoretical, deterministic, and stochastic analyses based on 3D block theory. A scaled physical hydraulic model, loosely representing conditions at the field site was used to investigate a broad range of variables and flow conditions not readily achievable in a field setting. For the model, an instrumented 3D block mold was constructed that could be rotated with respect to the flow direction to study the influence of discontinuity orientation on block erodibility. These experiments were the first of their kind to use a non-prismatic 3D rock block, such that the full 3D kinematic conditions associated with the block geometry could be represented. The block erodibility threshold was found to be highly dependent on the flow direction. Pressure values, represented by the dimensionless dynamic pressure coefficients were determined as a function of the block mold orientation, turbulence intensity, block protrusion height, and flow velocity. Overall, the average hydrodynamic pressures on block faces were found to be adequate in the evaluation model block stability. The trajectory of the blocks through the removal process obtained from camera recordings and from proximity sensor data were plotted on whole sphere stereographic projections to analyze the specifics of the kinematic constraints for each condition. Thus, three separate block response modes were observed based on the kinematic constraint related to the block geometry and orientation.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106229"},"PeriodicalIF":7.5,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New insights into tunnel spalling from scale model and element testing 从比例模型和元素测试对隧道剥落的新见解
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-18 DOI: 10.1016/j.ijrmms.2025.106247
Doandy Yonathan Wibisono, Marte Gutierrez
{"title":"New insights into tunnel spalling from scale model and element testing","authors":"Doandy Yonathan Wibisono,&nbsp;Marte Gutierrez","doi":"10.1016/j.ijrmms.2025.106247","DOIUrl":"10.1016/j.ijrmms.2025.106247","url":null,"abstract":"<div><div>Brittle instabilities in tunnel excavation can lead to spalling, violent rock ejection, and tunnel collapse. Previous experimental studies have primarily investigated brittle tunnel failure using two-dimensional loading, which oversimplifies in-situ stress state. Additionally, the mechanism behind the low entry angle of fracturing (i.e., angle of spalling fracture at the tunnel wall) observed in spalling during tunneling is not fully understood when using standard uniaxial compression tests (UCT) and triaxial compression (TC) tests. This study aims to showcase these limitations using a large-scale tunnel model and triaxial extension (TE) tests. A tunnel was excavated using a miniature tunnel boring machine (TBM) through an analog brittle rock specimen loaded in a true-triaxial cell. Following excavation, the specimen was loaded in stages under incrementally increasing isotropic loading conditions, which induced failure in the tunnel. The 51-mm diameter tunnel excavated in a 300 × 300 × 300 mm<sup>3</sup> cubic specimen facilitated direct observation of spalling progression throughout the loading stage. Six wideband acoustic emission (AE) sensors were utilized to monitor microcracking intensities associated with changes in boundary stress conditions during the loading stages. At the end of the final loading stage, an epoxy resin was injected into the failed tunnel to preserve the tunnel geometry and identify the damage zone. Triaxial extension (TE) tests were introduced as a more correct experimental procedure to predict tunnel spalling. Using a conventional Hoek Cell, the TE test setup effectively represented the three-dimensional in-situ stress states and yields steep angles failure plane measured from minor principal stress. This study improves our understanding of brittle failure mechanisms based on experimental evidence by comparing the use of TE and TC test results to predict tunnel spalling. The evaluations indicated that predictions using TE parameters were more accurate than those using TC parameters regarding spalling shear strength at the tunnel wall, entry angle, and depth of damage. Direct entry angle measurements from the TE tests and theoretical log-spiral slip lines offered the most accurate fit with tunnel model spalling. The entry angles from the curved failure envelopes from both TC and TE could not provide steep failure plane angles at zero confinement, indicating that a single failure envelope cannot characterize fracturing in rocks at different stress levels. However, the thin shear slabs with steep failure planes provided conclusive experimental evidence confirming that classical shear failure primarily governs spalling. The results provide new insights for safer and more reliable tunnel designs in brittle rocks.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106247"},"PeriodicalIF":7.5,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic extraction of rock discontinuity orientations from 3D point clouds via an adaptive clustering and surface fitting approach 基于自适应聚类和曲面拟合的三维点云岩石不连续面方向自动提取方法
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-18 DOI: 10.1016/j.ijrmms.2025.106246
Mingming Ren , Jie Hu , Di Peng , Yuxiang Ding , Manchao He
{"title":"Automatic extraction of rock discontinuity orientations from 3D point clouds via an adaptive clustering and surface fitting approach","authors":"Mingming Ren ,&nbsp;Jie Hu ,&nbsp;Di Peng ,&nbsp;Yuxiang Ding ,&nbsp;Manchao He","doi":"10.1016/j.ijrmms.2025.106246","DOIUrl":"10.1016/j.ijrmms.2025.106246","url":null,"abstract":"<div><div>The orientation of rock discontinuities is a critical parameter for evaluating the stability and safety of rock engineering structures. With the continuous advancement of remote surveying techniques, analysis of exposed rock surfaces based on 3D point cloud data has emerged as a mainstream approach, owing to its high data fidelity and rich geometric information. However, efficiently and accurately extracting geometric parameters of rock discontinuities from point clouds remains a significant challenge. To address this issue, this study proposes an efficient method for the automatic extraction of geometric features of rock discontinuities from 3D point clouds. First, a downsampling and smoothing preprocessing strategy is employed to significantly enhance computational efficiency while preserving essential geometric features. Concurrently, a local geometric adjustment normal estimation algorithm is introduced to generate high-precision normals while retaining sharp structural features. An improved Unsupervised K-means (UKM) clustering algorithm is subsequently proposed to planar segmentation of the point cloud, enabling the automatic identification and classification of discontinuity orientations. Finally, an enhanced Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is adopted to achieve precise planar segmentation, followed by Random Sample Consensus (RANSAC) method to ensure accurate extraction of discontinuity orientations. Experiments conducted on two real-world datasets demonstrate that the proposed method outperforms four widely used approaches in terms of both accuracy and computational efficiency, providing a novel and effective solution for the automated extraction of structural surface information in rock engineering applications.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106246"},"PeriodicalIF":7.5,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental and numerical study on rock breaking characteristics of TBM disc cutter under coupled static-dynamic loading 动静耦合载荷作用下TBM圆盘刀破岩特性试验与数值研究
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-18 DOI: 10.1016/j.ijrmms.2025.106248
Zenghui Liu , Shouwu Su , Shiguang Zhao , Yanlong Zheng
{"title":"Experimental and numerical study on rock breaking characteristics of TBM disc cutter under coupled static-dynamic loading","authors":"Zenghui Liu ,&nbsp;Shouwu Su ,&nbsp;Shiguang Zhao ,&nbsp;Yanlong Zheng","doi":"10.1016/j.ijrmms.2025.106248","DOIUrl":"10.1016/j.ijrmms.2025.106248","url":null,"abstract":"<div><div>Coupled static-dynamic loading is a promising technique for enhancing the rock-breaking efficiency of tunnel boring machines (TBMs) under hard rock conditions. This study investigates the effects of coupled static-dynamic loading on the rock-breaking characteristics of TBM disc cutters using scaled linear cutting tests and finite–discrete element method (FDEM) simulations. Scaled test results indicate that, compared to static loading, coupled static-dynamic loading reduces the cutting coefficient by up to 27 % and specific energy by up to 46 %. A validated FDEM model is developed to explore the influence of cutting penetration, speed, spacing, and impact force and frequency on cutting forces and rock fragmentation when using full-scale disc cutters. Numerical simulations reveal that specific energy decreases with increasing penetration, speed, and impact force up to an optimal threshold, beyond which efficiency declines. Too small a cutting spacing leads to excessive fragmentation, while overly large spacing results in incomplete breakage. High impact frequencies can induce repeated rock failure and reduce efficiency. These findings confirm the potential of coupled static-dynamic loading to substantially improve TBM rock breaking efficiency in hard rock environments and provides valuable guidance for the design and optimization of TBM cutters and operational parameters.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106248"},"PeriodicalIF":7.5,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine learning-based data mining of reservoir landslide triggering mechanisms and failure time prediction for displacement sudden state 基于机器学习的水库滑坡触发机制数据挖掘及位移突发状态失效时间预测
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-16 DOI: 10.1016/j.ijrmms.2025.106234
Shaoqiang Meng , Zhenming Shi , Gang Li , Michel Jaboyedoff , Thomas Glade
{"title":"Machine learning-based data mining of reservoir landslide triggering mechanisms and failure time prediction for displacement sudden state","authors":"Shaoqiang Meng ,&nbsp;Zhenming Shi ,&nbsp;Gang Li ,&nbsp;Michel Jaboyedoff ,&nbsp;Thomas Glade","doi":"10.1016/j.ijrmms.2025.106234","DOIUrl":"10.1016/j.ijrmms.2025.106234","url":null,"abstract":"<div><div>Reservoir landslides, driven by rainfall and water level fluctuations, exhibit step-like displacements, posing significant geotechnical risks. This study employs machine learning and data mining to elucidate deformation mechanisms and predict failure times during sudden displacement states, enhancing disaster mitigation. Using GPS displacement data from three profiles, we quantify factors influencing front, middle, and rear-edge displacements in reservoir landslides. An interpretable interval prediction model, refined by Markov Chain Monte Carlo (MCMC) Bayesian updating, ensures robust failure time estimates. Results indicate that front-edge displacements are primarily triggered by water level fluctuations, with rapid drawdowns exceeding 8 m amplifying deformation under low-intensity rainfall. Middle and rear-edge displacements arise from combined rainfall and water level effects. SHAP analysis reveals rainfall's direct influence and water level's indirect role via rainfall interactions, with current-month (a5) and two-month (a7) water level changes driving short- and long-term displacement patterns, respectively. The CEEMDAN-TTAO-BiGRU model delivers high-accuracy predictions for periodic and total displacements, yielding narrow 95 % confidence intervals. Seven onset of acceleration (OOA) points, identified via the MACD indicator, show six with prediction errors ≤1 month. MCMC-based Bayesian updating estimates a mean failure time of 29.95 months (95 % CI: [28.38, 31.52] months), advancing landslide monitoring and early warning systems. This study offers scientific insights into reservoir landslide deformation by combining interpretable AI with physical-process understanding, and provides an engineering tool for accurate failure prediction to support intelligent monitoring and early warning.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106234"},"PeriodicalIF":7.5,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Determination of mine-wide in-situ stress using numerical back analysis: a case study of Jwaneng mine 用数值反分析方法确定全矿地应力——以吉瓦能矿为例
IF 7.5 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-16 DOI: 10.1016/j.ijrmms.2025.106235
Mingzheng Wang , Ming Cai , Sean Maloney , Michael Dunn
{"title":"Determination of mine-wide in-situ stress using numerical back analysis: a case study of Jwaneng mine","authors":"Mingzheng Wang ,&nbsp;Ming Cai ,&nbsp;Sean Maloney ,&nbsp;Michael Dunn","doi":"10.1016/j.ijrmms.2025.106235","DOIUrl":"10.1016/j.ijrmms.2025.106235","url":null,"abstract":"<div><div>In order to prepare for the transition from open pit to underground mining, Jwaneng Mine has undertaken several in-situ stress measurement campaigns in the past 12 years. Complex geological conditions at the mine site result in significantly scattered measurement data, making it challenging to interpret a coherent trend for the field stress tensor. To address this issue, this study presents a method to determine the mine-wide in-situ stress field using numerical back analysis incorporating geology, field stress measurement data, and mining history. Firstly, to consider the impact of excavation effects and the complex geology of the mining area, a 3DEC numerical model is established that includes major faults and rock mass zones and considers the open-pit excavation history. Thereafter, a back-analysis approach using the least squares method is proposed to find the optimal solution of the stress field. Based on this, the solution of the field stress tensor at Jwaneng Mine is obtained using overcoring stress measurement data obtained from 2013 to 2019. The reliability of the solution is further validated using the measurement data of deformation rate analysis and borehole ovality. This study offers reliable mine-scale in-situ stress conditions for Jwaneng Mine, which is critical for underground mine design. The proposed back-analysis method is useful for estimating mine-wide field stress under complex geological conditions.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"194 ","pages":"Article 106235"},"PeriodicalIF":7.5,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A predictive model for coal permeability evolution under thermal-mechanical-chemical coupling effects 热-机-化学耦合作用下煤渗透率演化预测模型
IF 7.2 1区 工程技术
International Journal of Rock Mechanics and Mining Sciences Pub Date : 2025-08-16 DOI: 10.1016/j.ijrmms.2025.106237
Wu Gao, Wenjie Xu, Jianhang Shi, Zhigang Li, Yunmin Chen
{"title":"A predictive model for coal permeability evolution under thermal-mechanical-chemical coupling effects","authors":"Wu Gao, Wenjie Xu, Jianhang Shi, Zhigang Li, Yunmin Chen","doi":"10.1016/j.ijrmms.2025.106237","DOIUrl":"https://doi.org/10.1016/j.ijrmms.2025.106237","url":null,"abstract":"Coal permeability evolution under thermal-mechanical-chemical coupling plays a critical role in underground coal thermal treatment (UCTT) and underground coal gasification (UCG). Unlike existing models limited to low-temperature applications, this study presents a novel permeability evolution model that integrates key mechanisms including thermal expansion, thermal dehydration, effective stress variation, gas adsorption/desorption, pyrolysis, gasification, and fracture generation or closure. The model also incorporates a three-stage deterioration process for coal moduli and introduces two key parameters, fracture formation strength and fracture number ratio, to characterize fracture development led by thermal and stress-induced damage, or shear deformation. This model is validated using triaxial permeability test data and 3D micro-CT images of bituminous coal, demonstrating good predictive capability. Key findings include: (1) A U-shaped permeability evolution during the dehydration stage (25–100 °C), with thermal expansion reducing permeability at 25–35 °C, followed by an increase due to thermal dehydration from 35 to 100 °C. (2) A three-phase permeability evolution in the 100–600 °C range: Phase I features rapid permeability increase driven by fracture generation; Phase II shows permeability decline due to coal softening; and Phase III sees permeability increase again due to pyrolysis and gasification. (3) Elevated pore pressures intensify shear-induced fracture closure, offsetting the relatively modest effects of volumetric strain, thus reducing overall permeability. This model enhances the mechanistic understanding of permeability evolution under thermal-mechanical-chemical conditions and provides a robust predictive tool to support the optimization of UCTT and UCG technologies.","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"41 1","pages":"106237"},"PeriodicalIF":7.2,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信