Deep Underground Science and Engineering最新文献

{"title":"Groundwater and stability in deep mining","authors":"Wanghua Sui, Jianguo Wang","doi":"10.1002/dug2.70025","DOIUrl":"https://doi.org/10.1002/dug2.70025","url":null,"abstract":"<p><i>Deep Underground Science and Engineering</i> (DUSE) is pleased to present this special issue on Groundwater and Stability in Deep Mining. As mining operations progress to greater depths to meet the growing global demand for mineral resources and energy, the challenges associated with groundwater control and rock mass stability have grown increasingly critical. These challenges are exacerbated by complex geological conditions, structural heterogeneity, and intense mining-induced disturbances. This special issue seeks to address these challenges by showcasing cutting-edge research and technological advancements in the field.</p><p>This special issue features a collection of 12 articles (seven articles for this special theme and five articles for regular submission) exploring diverse aspects of groundwater and rock stability in deep mining. The contributions span a broad range of topics, from experimental investigations of thermo-mechanical properties of cement grouts to comprehensive reviews of shear behaviors in bolted rock joints under varying stress conditions, along with field-based studies on grout propagation in engineering applications. One article (Title: Field investigation of grout propagation within a caving mass under flowing water condition in a metal mine, DOI:10.1002/dug2.70001) is particularly noteworthy, examining the complex dynamics of grout propagation within a metal mine's caving mass under active water flow conditions. This study provides critical insights for mitigating water–sand mixture inrush hazards and advancing mining safety practices. Another article (Title: A comprehensive review of experimental studies on shear behavior of bolted rock joints with varying rock joint and bolt parameters and normal stress, DOI:10.1002/dug2.12091) presents a systematic review of experimental investigations into shear behaviors of bolted rock joints, emphasizing the effects of joint roughness coefficient (JRC) and normal stress on shear strength. Further study analyzes permeability coefficient variations in soil-rock mixtures within fault zones under varying stress states, establishing quantitative relationships between permeability coefficients and stress conditions (Title: Study on the variation of the permeability coefficient of soil-rock mixtures in fault zones under different stress states, DOI:10.1002/dug2.12100).</p><p>This special issue further encompasses several critical investigations, including: (1) the thermal degradation effects on cement grout properties in deep rock grouting applications under elevated ground temperatures (Title: Effects of elevated ground temperatures on properties of cement grouts for deep rock grouting, DOI:10.1002/dug2.12073); (2) the characteristic evolution of in situ stress fields and associated rock mechanical property alterations in deep mining environments (Title: A comprehensive study on in situ stress field characteristics and changes in rock mechanical properties in deep mines in northea","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 2","pages":"169-170"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Field investigation of grout propagation within a caving mass under flowing water conditions in a metal mine","authors":"Baofu Wu,&nbsp;Guilei Han,&nbsp;Zhiqi Wang,&nbsp;Jiabin Shi,&nbsp;Hongjiang You,&nbsp; Asrullah","doi":"10.1002/dug2.70001","DOIUrl":"https://doi.org/10.1002/dug2.70001","url":null,"abstract":"<p>Due to the invisibility and complexity of the underground spaces, monitoring the propagation and filling characteristics of the grouting slurry post the water–sand mixture inrush in metal mines is challenging, which complicates engineering treatment. This research investigated the propagation law of cement-sodium silicate slurry under flowing water conditions within the caving mass of a metal mine. First, based on borehole packer test results and borehole TV images, the fractured strata before grouting were classified into four types: cavity, hidden, fissure, and complete. Second, an orthogonal experimental design was employed to evaluate the impact of four key factors—stratigraphic fragmentation, water flow rate, grouting flow rate, and water-cement ratio—on the efficacy of grouting within a caving mass at the site. The results indicate that the factors influencing grouting efficacy are ranked in the following order of importance: stratigraphic fragmentation &gt; water flow rate &gt; water–cement ratio &gt; grouting flow rate. Ultimately, five propagation filling modes—pure slurry, big crack, small crack, small karst pore, and pore penetration—were identified by examining the propagation filling characteristics of slurry in rock samples, incorporating microscopic material structure analysis through scanning electron microscopy and energy spectrum analysis. The findings of this study provide valuable insights into selecting engineering treatment parameters and methodologies, serving as a reference for preventing and controlling water–sand mixture inrush in metal mines, thereby enhancing treatment efficacy and ensuring grouting success.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 2","pages":"222-240"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning and Big Data in deep underground engineering","authors":"Asoke K. Nandi,&nbsp;Ru Zhang,&nbsp;Tao Zhao,&nbsp;Tao Lei","doi":"10.1002/dug2.70004","DOIUrl":"https://doi.org/10.1002/dug2.70004","url":null,"abstract":"&lt;p&gt;This special issue of &lt;i&gt;Deep Underground Science and Engineering&lt;/i&gt; (DUSE) showcases pioneering research on the transformative role of machine learning (ML) and Big Data in deep underground engineering. Edited by guest editors Prof. Asoke Nandi (Brunel University of London, UK), Prof. Ru Zhang (Sichuan University, China), Prof. Tao Zhao (Chinese Academy of Sciences, China), and Prof. Tao Lei (Shaanxi University of Science and Technology, China), this issue highlights the innovative applications of ML technique in reshaping structural safety, tunneling operations, and geotechnical investigations.&lt;/p&gt;&lt;p&gt;As underground engineering challenges grow in complexity, ML and Big Data have become indispensable tools for improving prediction accuracy, optimizing operational efficiency, and ensuring the long-term safety and sustainability of infrastructure. By leveraging vast datasets, automating critical processes, and predicting complex engineering outcomes, these technologies are enabling smarter, more reliable engineering practices that drive both performance and resilience.&lt;/p&gt;&lt;p&gt;The contributions to this special issue illustrate the diverse and impactful applications of ML and Big Data in deep underground engineering. One article introduces ALSTNet, an advanced data-driven model that integrates long- and short-term time-series data using autoencoders to predict tunnel structural behaviors. When applied to strain monitoring data from the Nanjing Dinghuaimen tunnel, ALSTNet outperforms traditional models, offering promising potential for early disaster prevention in real-world engineering scenarios. Another study presents two robust ML models—Gene Expression Programming (GEP) and a Decision Tree-Support Vector Machine (DT-SVM) hybrid algorithm—to assess pillar stability in deep underground mines. Validated with 236 case histories, these models demonstrate exceptional accuracy and provide valuable tools for project managers to evaluate pillar stability during both the design and operational phases of mining projects. Yet another study demonstrates the use of fuzzy C-means clustering combined with ML models in Tunnel Boring Machine (TBM) operations. This innovative approach enhances prediction accuracy, providing more reliable insights for TBM tunneling processes and boosting efficiency in underground excavation projects.&lt;/p&gt;&lt;p&gt;Several other papers focus on optimizing monitoring systems for underground structures. One contribution presents a low-cost micro-electromechanical systems (MEMS) sensor designed to monitor tilt and acceleration in underground structures. Aided by ML algorithms, this sensor facilitates real-time monitoring and early warning capabilities, thereby significantly improving safety during underground construction. Another paper introduces a ML-based optimization model for underwater shield tunnels, showing how strategically placed monitoring points—such as at the spandrel and arch crown—can improve the accuracy of stress distribution","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of thermal–hydro–mechanical coupling on grouting in a single fracture under coal mine flowing water conditions","authors":"Dingyang Zhang,&nbsp;Dangping Liu","doi":"10.1002/dug2.12144","DOIUrl":"https://doi.org/10.1002/dug2.12144","url":null,"abstract":"<p>Groundwater inrush is a hazard that always occurs during underground mining. Grouting is one of the most effective processes to seal underground water inflow for hazard prevention. In this study, grouting experiments are conducted by using a visualized transparent single-fracture replica with plane roughness. Image processing and analysis are performed to investigate the thermo–hydro–mechanical coupling effect on the grouting diffusion under coal mine flowing water conditions. The results show that higher ambient temperature leads to shorter initial gel time of chemical grout and leads to a better relative sealing efficiency in the case of a lower flow rate. However, with a higher water flow rate, the relative sealing efficiency is gradually reduced under higher temperature conditions. The grouting pressure, the seepage pressure, and the temperature are measured. The results reveal that the seepage pressure shows a positive correlation with the grouting pressure, while the temperature change shows a negative correlation with the seepage pressure and the grouting pressure. The “equivalent grouting point offset” effect of grouting shows an eccentric elliptical diffusion with larger grouting distance and width under lower temperature conditions.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 2","pages":"264-277"},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laboratory evaluation of a low-cost micro electro-mechanical systems sensor for inclination and acceleration monitoring","authors":"Antonis Paganis,&nbsp;Vassiliki N. Georgiannou,&nbsp;Xenofon Lignos,&nbsp;Reina El Dahr","doi":"10.1002/dug2.12135","DOIUrl":"https://doi.org/10.1002/dug2.12135","url":null,"abstract":"<p>In this study, the design and development of a sensor made of low-cost parts to monitor inclination and acceleration are presented. Α micro electro-mechanical systems, micro electro mechanical systems, sensor was housed in a robust enclosure and interfaced with a Raspberry Pi microcomputer with Internet connectivity into a proposed tilt and acceleration monitoring node. Online capabilities accessible by mobile phone such as real-time graph, early warning notification, and database logging were implemented using Python programming. The sensor response was calibrated for inherent bias and errors, and then tested thoroughly in the laboratory under static and dynamic loading conditions beside high-quality transducers. Satisfactory accuracy was achieved in real time using the Complementary Filter method, and it was further improved in LabVIEW using Kalman Filters with parameter tuning. A sensor interface with LabVIEW and a 600 MHz CPU microcontroller allowed real-time implementation of high-speed embedded filters, further optimizing sensor results. Kalman and embedded filtering results show agreement for the sensor, followed closely by the low-complexity complementary filter applied in real time. The sensor's dynamic response was also verified by shaking table tests, simulating past recorded seismic excitations or artificial vibrations, indicating negligible effect of external acceleration on measured tilt; sensor measurements were benchmarked using high-quality tilt and acceleration measuring transducers. A preliminary field evaluation shows robustness of the sensor to harsh weather conditions.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 1","pages":"46-54"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-year growth of Deep Underground Science and Engineering: A perspective","authors":"Jianguo Wang,&nbsp;Chunfai Leung,&nbsp;Heping Xie,&nbsp;Xiaozhao Li,&nbsp;Na Yue,&nbsp;Qingping Hou,&nbsp;Jihong Wang","doi":"10.1002/dug2.12139","DOIUrl":"https://doi.org/10.1002/dug2.12139","url":null,"abstract":"&lt;p&gt;&lt;i&gt;Deep Underground Science and Engineering&lt;/i&gt; (DUSE) launched its first issue in September 2022 as a quarterly journal. So far, it has published 106 articles with nine issues and online early view. The volume of received manuscripts increases by 50% each year and over 200 manuscripts were received by 28th of November 2024. In the early period, DUSE authorship came from five countries and now reaches 29 countries. DUSE articles have been downloaded over 97 000 times by readers from 170 countries/regions. It is indeed encouraging to note that DUSE has been admitted to different indices, including ESCI (August 2024), EI (March 2024), Scopus (July 2023), and DOAJ (May 2023). Its CiteScore in Scopus was 2.2 in 2023 and increased to 5.1 at the mid-November 2024. Its first impact factor from the Web of Science will be available in 2025. DUSE is growing to be a rapidly recognized international journal by readers in deep underground research and practice.&lt;/p&gt;&lt;p&gt;DUSE is making its best efforts to trace and shape a full-chain deep underground science and engineering through its six directions. &lt;i&gt;Direction 1&lt;/i&gt;: Exploration and extraction of geo-resources. The geo-resources refer to minerals, energy sources, and water. DUSE makes efforts to streamline research studies in geo-resources from the initial geological analysis of source location, geo-resource volume estimation, and hot sweat point identification. These processes involve geology, geophysics, rock mechanics, and related material science and technology. After the identification of geo-resources, the next step is to extract these geo-resources from (deep) ground. This step involves engineering science and technology, such as rock mechanics, hydraulic fracturing technology, blasting, and so on. The key outcome is the extraction of these identified geo-sources from the deep ground with technical feasibility and economic benefit. &lt;i&gt;Direction 2&lt;/i&gt;: Energy extraction and storage. Deep underground has abundant fuel matter, which was generated through long-term geological actions. Deep underground also has abundant space for the storage of energy and materials. This direction involves branches of engineering science, such as petroleum, engineering science and technology, material science, and environment science. &lt;i&gt;Direction 3&lt;/i&gt;: Underground infrastructures. This direction focuses on the excavation and utilization of underground spaces, such as cavern construction, tunneling, and other pore space use. &lt;i&gt;Direction 4&lt;/i&gt;: Geo-environments and waste geological disposal, which deals with the solutions to environmental problems in deep underground. The environmental problems have two types: The first one refers to the environmental problems induced by the exploitation of underground resources. The second one refers to the utilization of underground space (including pore space) to solve the environmental problems that are difficult to tackle on the ground surface, such as geological disposal of nuclea","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 4","pages":"383-384"},"PeriodicalIF":0.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acknowledgment of reviewers","authors":"","doi":"10.1002/dug2.12137","DOIUrl":"https://doi.org/10.1002/dug2.12137","url":null,"abstract":"&lt;p&gt;The Editors of &lt;i&gt;Deep Underground Science and Engineering&lt;/i&gt; (DUSE) wish to extend our deepest thanks to the following peer reviewers in 2024. We are grateful to their contributions of time and expertise to improve the quality of DUSE. We have made every effort to ensure that all ad hoc reviewers are correctly listed. Our apologies are given to those whose names were unwittingly misspelled or omitted.&lt;/p&gt;&lt;p&gt;Mahamuda Abu&lt;/p&gt;&lt;p&gt;Salaam Jansbaka Adams&lt;/p&gt;&lt;p&gt;Musab A. Q. Al-Janabi&lt;/p&gt;&lt;p&gt;Ni An&lt;/p&gt;&lt;p&gt;Matteo Antelmi&lt;/p&gt;&lt;p&gt;Gabriel de Alemar Barberes&lt;/p&gt;&lt;p&gt;Luca Basilone&lt;/p&gt;&lt;p&gt;Jianchao Cai&lt;/p&gt;&lt;p&gt;Jian Cao&lt;/p&gt;&lt;p&gt;Jie Cao&lt;/p&gt;&lt;p&gt;Shuai Cao&lt;/p&gt;&lt;p&gt;Zhiming Chao&lt;/p&gt;&lt;p&gt;Chaofan Chen&lt;/p&gt;&lt;p&gt;Jueliang Chen&lt;/p&gt;&lt;p&gt;Luwang Chen&lt;/p&gt;&lt;p&gt;Min Chen&lt;/p&gt;&lt;p&gt;Shi Chen&lt;/p&gt;&lt;p&gt;Yifan Chen&lt;/p&gt;&lt;p&gt;Yuedu Chen&lt;/p&gt;&lt;p&gt;Gang Cheng&lt;/p&gt;&lt;p&gt;Guanglei Cui&lt;/p&gt;&lt;p&gt;Xiaopu Cui&lt;/p&gt;&lt;p&gt;Chenxi Ding&lt;/p&gt;&lt;p&gt;Zhuo Dong&lt;/p&gt;&lt;p&gt;Xueming Du&lt;/p&gt;&lt;p&gt;Hongyu Duan&lt;/p&gt;&lt;p&gt;Hongyun Fan&lt;/p&gt;&lt;p&gt;Jinyang Fan&lt;/p&gt;&lt;p&gt;Ning Fan&lt;/p&gt;&lt;p&gt;Gan Feng&lt;/p&gt;&lt;p&gt;Aime Fournier&lt;/p&gt;&lt;p&gt;Jinwei Fu&lt;/p&gt;&lt;p&gt;Xiaolu Gan&lt;/p&gt;&lt;p&gt;Yanan Gao&lt;/p&gt;&lt;p&gt;Mehran Ghasabeh&lt;/p&gt;&lt;p&gt;Bin Gong&lt;/p&gt;&lt;p&gt;Fengqiang Gong&lt;/p&gt;&lt;p&gt;Qiuming Gong&lt;/p&gt;&lt;p&gt;Ankit Grag&lt;/p&gt;&lt;p&gt;Dogukan Guner&lt;/p&gt;&lt;p&gt;Weiyao Guo&lt;/p&gt;&lt;p&gt;Zhizheng Guo&lt;/p&gt;&lt;p&gt;H. Haeri&lt;/p&gt;&lt;p&gt;Jianyong Han&lt;/p&gt;&lt;p&gt;Sakuma Hiroshi&lt;/p&gt;&lt;p&gt;Hussein Hoteit&lt;/p&gt;&lt;p&gt;Zhengmeng Hou&lt;/p&gt;&lt;p&gt;Dawei Hu&lt;/p&gt;&lt;p&gt;Nan Hu&lt;/p&gt;&lt;p&gt;Xunjian Hu&lt;/p&gt;&lt;p&gt;Haiping Huang&lt;/p&gt;&lt;p&gt;Changbao Jiang&lt;/p&gt;&lt;p&gt;Wencheng Jin&lt;/p&gt;&lt;p&gt;Xiangsong Kong&lt;/p&gt;&lt;p&gt;Sunil Kumar&lt;/p&gt;&lt;p&gt;Guohui Lei&lt;/p&gt;&lt;p&gt;Bo Li&lt;/p&gt;&lt;p&gt;Genzhuang Li&lt;/p&gt;&lt;p&gt;Xiaofeng Li&lt;/p&gt;&lt;p&gt;Xing Li&lt;/p&gt;&lt;p&gt;Xudong Li&lt;/p&gt;&lt;p&gt;Yanghui Li&lt;/p&gt;&lt;p&gt;Yuwei Li&lt;/p&gt;&lt;p&gt;Zhiqiang Li&lt;/p&gt;&lt;p&gt;Wei Liang&lt;/p&gt;&lt;p&gt;Botao Lin&lt;/p&gt;&lt;p&gt;Hang Lin&lt;/p&gt;&lt;p&gt;Hejuan Liu&lt;/p&gt;&lt;p&gt;Jian Liu&lt;/p&gt;&lt;p&gt;Jianfeng Liu&lt;/p&gt;&lt;p&gt;Liyuan Liu&lt;/p&gt;&lt;p&gt;Mengxin Liu&lt;/p&gt;&lt;p&gt;Xuesheng Liu&lt;/p&gt;&lt;p&gt;A. J. (Tom) Van Loon&lt;/p&gt;&lt;p&gt;Shifeng Lu&lt;/p&gt;&lt;p&gt;Shouqing Lu&lt;/p&gt;&lt;p&gt;Yimin Lu&lt;/p&gt;&lt;p&gt;Zhao Lu&lt;/p&gt;&lt;p&gt;Zheng Lu&lt;/p&gt;&lt;p&gt;Hu Lv&lt;/p&gt;&lt;p&gt;Dongdong Ma&lt;/p&gt;&lt;p&gt;Ke Ma&lt;/p&gt;&lt;p&gt;Tianshou Ma&lt;/p&gt;&lt;p&gt;Satar Mahdevari&lt;/p&gt;&lt;p&gt;Mohamed Malki&lt;/p&gt;&lt;p&gt;Mohammad Mehrad&lt;/p&gt;&lt;p&gt;Pinqiang Mo&lt;/p&gt;&lt;p&gt;Mostafa Mollaali&lt;/p&gt;&lt;p&gt;Arun Narayanan Nair&lt;/p&gt;&lt;p&gt;Hongyang Ni&lt;/p&gt;&lt;p&gt;Fulong Ning&lt;/p&gt;&lt;p&gt;Qiang Ou&lt;/p&gt;&lt;p&gt;Dongjiang Pan&lt;/p&gt;&lt;p&gt;Deepak Patwa&lt;/p&gt;&lt;p&gt;J. K. Pearce&lt;/p&gt;&lt;p&gt;Huafu Pei&lt;/p&gt;&lt;p&gt;Chunde Piao&lt;/p&gt;&lt;p&gt;Chengzhi Qi&lt;/p&gt;&lt;p&gt;Dwarikanath Ratha&lt;/p&gt;&lt;p&gt;Bharat Rattan&lt;/p&gt;&lt;p&gt;Arshad Raza&lt;/p&gt;&lt;p&gt;Shengjie Rui&lt;/p&gt;&lt;p&gt;Zhenhua Rui&lt;/p&gt;&lt;p&gt;Ahmad Sakhaee Pour&lt;/p&gt;&lt;p&gt;Vahab Sarfarazi&lt;/p&gt;&lt;p&gt;Axel Schippers&lt;/p&gt;&lt;p&gt;Resmi Sebastian&lt;/p&gt;&lt;p&gt;Jianfu Shao&lt;/p&gt;&lt;p&gt;Zhushan Shao&lt;/p&gt;&lt;p&gt;Jihong Shi&lt;/p&gt;&lt;p&gt;Yue Shi&lt;/p&gt;&lt;p&gt;Dazhao Song&lt;/p&gt;&lt;p&gt;Yang Song&lt;/p&gt;&lt;p&gt;Zhanping Song&lt;/p&gt;&lt;p&gt;Mairaj Soomro&lt;/p&gt;&lt;p&gt;Alfred Strauss&lt;/p&gt;&lt;p&gt;Benyu Su&lt;/p&gt;&lt;p&gt;Shanjie Su&lt;/p&gt;&lt;p&gt;Wanghua Sui&lt;/p&gt;&lt;p&gt;Qiang Sun&lt;/p&gt;&lt;p&gt;Yuantian Sun&lt;/p&gt;&lt;p&gt;Xu Tao&lt;/p&gt;&lt;p&gt;Zhigang Tao&lt;/p&gt;&lt;p&gt;Francesco Tinti&lt;/p&gt;&lt;p&gt;Olli H. Tuovinen&lt;/p&gt;&lt;p&gt;Chunguang Wang&lt;/p&gt;&lt;p&gt;Daobing Wang&lt;/p&gt;&lt;p&gt;Fuyong Wang&lt;/p&gt;&lt;p&gt;Haiyang Wang&lt;/p&gt;&lt;p&gt;Huimin Wang&lt;/p&gt;&lt;p&gt;Jun Wang&lt;/p&gt;&lt;p&gt;Lu Wang&lt;/p&gt;&lt;p&gt;Luqi Wang&lt;/p&gt;&lt;p&gt;Mingquan Wang&lt;/p&gt;&lt;p&gt;Susheng Wang&lt;/p&gt;&lt;p&gt;Xiao Wang&lt;/p&gt;&lt;p&gt;Yukai Wang&lt;/p&gt;&lt;p&gt;Ming Wen&lt;/p&gt;&lt;p&gt;Tao Wen&lt;/p&gt;&lt;p&gt;Fei Wu&lt;/p&gt;&lt;p&gt;Huanyu Wu&lt;/p&gt;&lt;p&gt;Jinwen Wu&lt;/p&gt;&lt;p&gt;Saisai Wu&lt;/p&gt;&lt;p&gt;X","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 4","pages":"508-509"},"PeriodicalIF":0.0,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on transparency of coal mine geological conditions based on distributed fiber-optic sensing technology","authors":"Chunde Piao,&nbsp;Yanzhu Yin,&nbsp;Zhihao He,&nbsp;Wenchi Du,&nbsp;Guangqing Wei","doi":"10.1002/dug2.12134","DOIUrl":"https://doi.org/10.1002/dug2.12134","url":null,"abstract":"<p>Coal mining induces changes in the nature of rock and soil bodies, as well as hydrogeological conditions, which can easily trigger the occurrence of geological disasters such as water inrush, movement of the coal seam roof and floor, and rock burst. Transparency in coal mine geological conditions provides technical support for intelligent coal mining and geological disaster prevention. In this sense, it is of great significance to address the requirements for informatizing coal mine geological conditions, dynamically adjust sensing parameters, and accurately identify disaster characteristics so as to prevent and control coal mine geological disasters. This paper examines the various action fields associated with geological disasters in mining faces and scrutinizes the types and sensing parameters of geological disasters resulting from coal seam mining. On this basis, it summarizes a distributed fiber-optic sensing technology framework for transparent geology in coal mines. Combined with the multi-field monitoring characteristics of the strain field, the temperature field, and the vibration field of distributed optical fiber sensing technology, parameters such as the strain increment ratio, the aquifer temperature gradient, and the acoustic wave amplitude are extracted as eigenvalues for identifying rock breaking, aquifer water level, and water cut range, and a multi-field sensing method is established for identifying the characteristics of mining-induced rock mass disasters. The development direction of transparent geology based on optical fiber sensing technology is proposed in terms of the aspects of sensing optical fiber structure for large deformation monitoring, identification accuracy of optical fiber acoustic signals, multi-parameter monitoring, and early warning methods.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 2","pages":"255-263"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of mechanical deformation and seepage mechanism of rock with filled joints","authors":"Lei Yue,&nbsp;Wei Li,&nbsp;Yu Liu,&nbsp;Shuncai Li,&nbsp;Jintao Wang","doi":"10.1002/dug2.12126","DOIUrl":"https://doi.org/10.1002/dug2.12126","url":null,"abstract":"<p>Various defects exist in natural rock masses, with filled joints being a vital factor complicating both the mechanical characteristics and seepage mechanisms of the rock mass. Filled jointed rocks usually show mechanical properties that are weaker than those of intact rocks but stronger than those of rocks with fractures. The shape of the rock, filling material, prefabricated fissure geometry, fissure roughness, fissure inclination angle, and other factors mainly influence the mechanical and seepage properties. This paper systematically reviews the research progress and findings on filled rock joints, focusing on three key aspects: mechanical properties, seepage properties, and flow properties under mechanical response. First, the study emphasizes the effects of prefabricated defects (shape, size, filling material, inclination angle, and other factors) on the mechanical properties of the rock. The fracture extension behavior of rock masses is revealed by the stress state of rocks with filled joints under uniaxial compression, using advanced auxiliary test techniques. Second, the seepage properties of rocks with filled joints are discussed and summarized through theoretical analysis, experimental research, and numerical simulations, focusing on organizing the seepage equations of these rocks. The study also considers the form of failure under stress–seepage coupling for both fully filled and partially filled fissured rocks. Finally, the limitations in the current research on the rock with filled joints are pointed out. It is emphasized that the specimens should more closely resemble real conditions, the analysis of mechanical indexes should be multi-parameterized, the construction of the seepage model should be refined, and the engineering coupling application should be multi-field–multiphase.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"3 4","pages":"439-466"},"PeriodicalIF":0.0,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive study on in situ stress field characteristics and changes in rock mechanical properties in deep mines in northeastern Yunnan, China","authors":"Hui Wang,&nbsp;Bangtao Sun,&nbsp;Cong Cao,&nbsp;Shibo Yu,&nbsp;He Wang,&nbsp;Ye Yuan,&nbsp;Hua Zhong","doi":"10.1002/dug2.12124","DOIUrl":"https://doi.org/10.1002/dug2.12124","url":null,"abstract":"<p>The Maoping lead–zinc mining area is a significant metal mine site in northeastern Yunnan. In this study, both hydraulic fracturing in situ stress testing and ultrasonic imaging logging were first carried out in the mining area. Second, 930 focal mechanism solutions and 231 sets of stress data near the mining area were collected. Then, the variations in the type of in situ stress field, the magnitude of in situ stress, the direction of horizontal principal stress, and the ratio of lateral pressure were analyzed to characterize the distribution of the in situ stress field. On this basis, a new method using borehole breakouts and drilling-induced fractures was proposed to determine the stress direction. Finally, the evolution of the mechanical properties of dolomite with burial depth was analyzed and the influence of rock mechanical properties on the distributions of the in situ stress field was explored. The results show that the in situ stress in the mining area is <i>σ</i>_H &gt; <i>σ</i>_V &gt; <i>σ</i>_h, indicating a strike–slip stress state. The in situ stress is high in magnitude, and its value increases with burial depth. The maximum and minimum horizontal lateral stress coefficients are stabilized at approximately 1.22 and 0.73, respectively. The direction of the maximum horizontal principal stress is NW, mainly ranging from N58.44° W to N59.70° W. The stress field inferred from the focal mechanism solution is in good agreement with the test results. The proportion of structural planes with dip angles between 30° and 75° exceeds 80%, and the dip direction of the structural planes is mainly NW to NWW. The line density of structural planes shows high density in shallow areas and low density in deep areas. More energy tends to be accumulated in rocks with higher elastic modulus and strength, leading to higher in situ stress levels. These findings are of significant reference for mine tunnel layout, support design optimization, and disaster prevention.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"4 2","pages":"241-254"},"PeriodicalIF":0.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}