Новая книга Springer о технологиях мониторинга микросейсмических данных в глубоких тоннелях

Overview - Focuses on research into near-field microseismic monitoring technology for deep-buried engineering - Covers near-field microseismic data analysis methods addressing seismic interconnections - Presents high-precision methods that establishes a technical basis for advanced rockburst early warning Access this book Tax calculation will be finalised at checkout Other ways to access About this book This book focuses on research into near-field microseismic monitoring technology for deep-buried engineering. It proposes a series of innovative methods for microseismic data analysis, including signal identification, P/S arrival picking, coda wave-based event cluster localization, localization of heterogeneous microseismic events, surrounding rock stability analysis of cross tunnel, and double-difference dynamic tomography. The book serves as a reference for researchers in the field of microseismic monitoring and provides technical support for rockburst early warning in deep-buried engineering. Its main features and benefits include: (1) The proposed methods exhibit stronger adaptability to complex environments. (2) The series of analytical methods consider the interconnections between microseismic events, better reflecting the collective characteristics of microseismic activity. (3) The series of methods proposed in this book fully account for the heterogeneity of the surrounding rock. Table of contents (10 chapters) Authors and Affiliations About the authors Yaxun Xiao: Xiao Yaxun is a researcher at the National Key Laboratory for Geomechanics and Engineering Safety, Wuhan Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. He serves as a council member of the Design Method Branch of the Chinese Society for Rock Mechanics and Engineering and a member of the Engineering Testing and Physical Exploration Professional Committee of the China Society for Hydropower Engineering. His focused on deep rock mechanics and engineering safety. He has led 3 projects funded by the National Natural Science Foundation of China and 2 subprojects of the National Key Research and Development Program. His research theories and technological achievements have been directly applied to over 20 major deep engineering projects in various countries. He has published more than 100 academic papers, with an H-index of 43, and holds over 20 authorized invention patents. Shujie Chen: Shujie Chen is a Ph.D. student at Tongji University. He primarily focuses on research related to near-field microseismic monitoring data processing methods, intelligent rock mass structure, and adverse geological exploration methods. He has participated in 2 projects funded by the National Natural Science Foundation of China and has been involved in microseismic monitoring projects at Yebatan Hydropower Station and Jinping Underground Laboratory. He has published 5 SCI papers in journals such as RMRE and SDEE and holds 2 patents. Liu Liu: Liu Liu, an associate researcher at the Wuhan Institute of Rock and Soil, Chinese Academy of Sciences, has been engaged in research on the detection theory, methods, and equipment of rock mass structure and complex geology. He was selected into the Youth Talent Program of the China Association for Science and Technology, presided over 2 projects funded by the National Natural Science Foundation of China and 2 sub projects of the National Key Research and Development Program, participated in projects such as the A-class leading project of the Chinese Academy of Sciences and the Jinping Underground Laboratory, and published more than 60 academic papers. Among them, he published 30 SCI papers and 6 EI papers as the first/corresponding author in authoritative journals. He also published 1 English monograph as the first author on Springer and obtained more than 40 invention patents including 6 US patents. Accessibility Information PDF accessibility summary This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, keyboard-friendly links and forms, and searchable, selectable text. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Please Note that a more accessible version of this eBook is available as an EPUB. EPUB accessibility summary This EPUB is designed with accessibility in mind, aiming to meet the EPUB Accessibility 1.1 and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Bibliographic Information - Book Title: Near-Field Microseismic Data Processing in Deep Tunnels - Book Subtitle: Methods and Applications - Authors: Yaxun Xiao, Shujie Chen, Liu Liu - DOI: https://doi.org/10.1007/978-981-92-3208-6 - Publisher: Springer Singapore - eBook Packages: Engineering, Engineering (R0) - Copyright Information: Tongji University Press Co., Ltd 2026 - Hardcover ISBN: 978-981-92-3207-9Published: 03 September 2026 - Softcover ISBN: 978-981-92-3210-9Due: 17 September 2027 - eBook ISBN: 978-981-92-3208-6Published: 02 September 2026 - Edition Number: 1 - Number of Pages: XIX, 214 - Number of Illustrations: 8 b/w illustrations, 97 illustrations in colour - Topics: Civil Engineering, Mechanical Engineering