{"title":"常规三轴载荷下喜马拉雅砂岩的直接声发射监测与微力学损伤建模:岩相整合与模型改进","authors":"Shubham Chajed, Aditya Singh","doi":"10.1016/j.ijrmms.2025.106260","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a direct contact-based acoustic emission (AE) monitoring approach to quantify rock damage under triaxial compression loading. With its application on five geologically diverse Himalayan sandstones to capture damage evolution using three AE parameters: event counts (<em>E</em><sub><em>AE</em></sub>), ringdown counts (<em>R</em><sub><em>AE</em></sub>), and energy (<em>U</em><sub><em>AE</em></sub>). The study reveals an inverse relationship between rock strength and critical damage: higher-strength rocks exhibit a lower magnitude of AE-based critical damage <em>(d</em><sub><em>AE</em></sub><em>)</em><sub><em>c</em></sub> and vice versa. Moreover, the <em>(d</em><sub><em>AE</em></sub><em>)</em><sub><em>c</em></sub> to the sandstones decreases exponentially with increasing confining pressure (<em>σ</em><sub><em>3</em></sub>). A generalized exponential regression model was proposed to predict critical damage using <em>σ</em><sub><em>3</em></sub> and experimental AE-based damage based on <em>E</em><sub><em>AE</em></sub>, <em>R</em><sub><em>AE</em></sub>, and <em>U</em><sub><em>AE</em></sub>, achieving <em>R</em><sup>2</sup> values of 0.58–0.91, 0.61–0.99, and 0.57–0.97, respectively. Among these, <em>R</em><sub><em>AE</em></sub> and <em>U</em><sub><em>AE</em></sub>-based models demonstrated superior predictive accuracy compared to <em>E</em><sub><em>AE</em></sub>. The derived critical damage was integrated into a modified AE-based micromechanical model, which was evaluated through 72 simulation scenarios accounting for variations in <em>σ</em><sub><em>3</em></sub>, AE parameters, and sandstone types. The model effectively captured regional geological variability, <em>σ</em><sub><em>3</em></sub> influence, and nonlinear stress-strain behaviour, including pre- and post-peak responses, Class II-Class I failure mode, and hardening–softening transitions. Additionally, the study introduced a multivariate regression framework that links petrographic indices with critical damage under varying confinement. Results identify <em>P</em><sub><em>d</em></sub>, GAR, and <em>P</em><sub><em>c</em></sub> as the most influential features for <em>R</em><sub><em>AE</em></sub>-based modelling. These offer a new pathway to connect rock microstructure with mechanical behaviour. The findings advance the microcrack-driven damage constitutive model and provide a predictive tool for safely designing underground structures.</div></div>","PeriodicalId":54941,"journal":{"name":"International Journal of Rock Mechanics and Mining Sciences","volume":"195 ","pages":"Article 106260"},"PeriodicalIF":7.5000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Direct acoustic emission (AE) monitoring and micromechanical damage modelling of the Himalayan sandstones under conventional triaxial loading: petrographic integration and model advancement\",\"authors\":\"Shubham Chajed, Aditya Singh\",\"doi\":\"10.1016/j.ijrmms.2025.106260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents a direct contact-based acoustic emission (AE) monitoring approach to quantify rock damage under triaxial compression loading. With its application on five geologically diverse Himalayan sandstones to capture damage evolution using three AE parameters: event counts (<em>E</em><sub><em>AE</em></sub>), ringdown counts (<em>R</em><sub><em>AE</em></sub>), and energy (<em>U</em><sub><em>AE</em></sub>). The study reveals an inverse relationship between rock strength and critical damage: higher-strength rocks exhibit a lower magnitude of AE-based critical damage <em>(d</em><sub><em>AE</em></sub><em>)</em><sub><em>c</em></sub> and vice versa. Moreover, the <em>(d</em><sub><em>AE</em></sub><em>)</em><sub><em>c</em></sub> to the sandstones decreases exponentially with increasing confining pressure (<em>σ</em><sub><em>3</em></sub>). A generalized exponential regression model was proposed to predict critical damage using <em>σ</em><sub><em>3</em></sub> and experimental AE-based damage based on <em>E</em><sub><em>AE</em></sub>, <em>R</em><sub><em>AE</em></sub>, and <em>U</em><sub><em>AE</em></sub>, achieving <em>R</em><sup>2</sup> values of 0.58–0.91, 0.61–0.99, and 0.57–0.97, respectively. Among these, <em>R</em><sub><em>AE</em></sub> and <em>U</em><sub><em>AE</em></sub>-based models demonstrated superior predictive accuracy compared to <em>E</em><sub><em>AE</em></sub>. The derived critical damage was integrated into a modified AE-based micromechanical model, which was evaluated through 72 simulation scenarios accounting for variations in <em>σ</em><sub><em>3</em></sub>, AE parameters, and sandstone types. The model effectively captured regional geological variability, <em>σ</em><sub><em>3</em></sub> influence, and nonlinear stress-strain behaviour, including pre- and post-peak responses, Class II-Class I failure mode, and hardening–softening transitions. Additionally, the study introduced a multivariate regression framework that links petrographic indices with critical damage under varying confinement. Results identify <em>P</em><sub><em>d</em></sub>, GAR, and <em>P</em><sub><em>c</em></sub> as the most influential features for <em>R</em><sub><em>AE</em></sub>-based modelling. These offer a new pathway to connect rock microstructure with mechanical behaviour. The findings advance the microcrack-driven damage constitutive model and provide a predictive tool for safely designing underground structures.</div></div>\",\"PeriodicalId\":54941,\"journal\":{\"name\":\"International Journal of Rock Mechanics and Mining Sciences\",\"volume\":\"195 \",\"pages\":\"Article 106260\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Rock Mechanics and Mining Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1365160925002370\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Rock Mechanics and Mining Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1365160925002370","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Direct acoustic emission (AE) monitoring and micromechanical damage modelling of the Himalayan sandstones under conventional triaxial loading: petrographic integration and model advancement
This study presents a direct contact-based acoustic emission (AE) monitoring approach to quantify rock damage under triaxial compression loading. With its application on five geologically diverse Himalayan sandstones to capture damage evolution using three AE parameters: event counts (EAE), ringdown counts (RAE), and energy (UAE). The study reveals an inverse relationship between rock strength and critical damage: higher-strength rocks exhibit a lower magnitude of AE-based critical damage (dAE)c and vice versa. Moreover, the (dAE)c to the sandstones decreases exponentially with increasing confining pressure (σ3). A generalized exponential regression model was proposed to predict critical damage using σ3 and experimental AE-based damage based on EAE, RAE, and UAE, achieving R2 values of 0.58–0.91, 0.61–0.99, and 0.57–0.97, respectively. Among these, RAE and UAE-based models demonstrated superior predictive accuracy compared to EAE. The derived critical damage was integrated into a modified AE-based micromechanical model, which was evaluated through 72 simulation scenarios accounting for variations in σ3, AE parameters, and sandstone types. The model effectively captured regional geological variability, σ3 influence, and nonlinear stress-strain behaviour, including pre- and post-peak responses, Class II-Class I failure mode, and hardening–softening transitions. Additionally, the study introduced a multivariate regression framework that links petrographic indices with critical damage under varying confinement. Results identify Pd, GAR, and Pc as the most influential features for RAE-based modelling. These offer a new pathway to connect rock microstructure with mechanical behaviour. The findings advance the microcrack-driven damage constitutive model and provide a predictive tool for safely designing underground structures.
期刊介绍:
The International Journal of Rock Mechanics and Mining Sciences focuses on original research, new developments, site measurements, and case studies within the fields of rock mechanics and rock engineering. Serving as an international platform, it showcases high-quality papers addressing rock mechanics and the application of its principles and techniques in mining and civil engineering projects situated on or within rock masses. These projects encompass a wide range, including slopes, open-pit mines, quarries, shafts, tunnels, caverns, underground mines, metro systems, dams, hydro-electric stations, geothermal energy, petroleum engineering, and radioactive waste disposal. The journal welcomes submissions on various topics, with particular interest in theoretical advancements, analytical and numerical methods, rock testing, site investigation, and case studies.