Rock Mechanics and Engineering. Prediction and Control of Landslides and Geological Disasters. Woodhead Publishing Series in Civil and Structural Engineering

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Book
November 2020
Elsevier Science and Technology
ID: 5029641

Rock Mechanics and Engineering: Prediction and Control of Landslides and Geological Disasters presents the state-of-the-art in monitoring and forecasting geotechnical hazards during the survey and design, construction, and operation of a railway. This volume offers the latest research and practical knowledge on the regularity of disaster-causing activities, and the monitoring and forecasting of rockfalls, landslides, and debris flow induced by rainfall and human activity. The book gives guidance on how to optimize railway design, prevent and control measures during construction, and geological hazard remediation. The book also advises engineers on how to achieve traffic safety on high-speed railways.

Eleven chapters present best practices in the prediction and control of landslides and rockfalls in geological disasters, derived from years of geotechnical engineering research and practice on high-speed railways in China. High-speed railways bring characteristic geotechnical challenges including a complete maintenance system, a long railway line, and the subjection of the geological body to cyclic loads. Since the damage to the geological body is influenced by fatigue as well as rock and soil strength and hydrology, the study of geotechnical hazards to high-speed rail is very complex. Monitoring and predicting such hazards on high-speed railways is a significant challenge to their safe construction and operation.�

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1. Overview of Research at Home and Abroad2. Similar Simulation Test of Landslide Field3. Rockfall Mechanism and Block Theoretical Stability Analysis4. Potential Hazard Prediction of Collapse5. Laboratory Test6. Disaster Mechanism and Regularity of Landslide and Collapse on High-Speed Railways7. Geological Basis8. Monitoring Technology of Landslide and Collapse of High-Speed Railways9. Landslide and Collapse Prediction Technology10. Monitoring and Forecasting of Landslides and Collapses in Various Stages of High-Speed Railways11. Relying on Engineering Applications12. In Conclusion

Authors

Helin Fu Professor, Geotechnical and Underground Engineering, School of Civil Engineering, Zhongnan University, China. Helin Fu is Professor of Geotechnical and Underground Engineering in the School of Civil Engineering, Zhongnan University, China. He is the lead for bridge and tunnel engineering as a National Key Discipline, and has previously been Visiting Professor at Freiberg University of Technology, in Germany. He is Executive Director of the Tunnel and Underground Engineering branch of the China Society of Civil Engineering, and holds many other senior positions. He holds a PhD, and is a leader in the area of rock mechanics and engineering. Wei Chen Associate Professor and Master Tutor, School of Civil Engineering, Central South University, Changsha, China. Dr. Wei Chen is currently an associate professor and master tutor in the School of Civil Engineering, Central South University. He has more than 20 high-level professional papers published in international journals, and obtained 4 patents. His research topics are mainly related to fracture, damage, crack propagation and time-dependent damage characteristics of rock, concrete and masonry structures, mechanical properties of rock under multi-field coupling condition, stability and safety analysis of landslide. He has several research projects which are respectively funded by National Natural Science Foundation of China, China Postdoctoral Science Foundation, and China State Railway Group Co.,Ltd. In addition, he is the reviewer for several international journals, for example, Engineering Geology, Engineering with Computers, Geotechnique, Rock Mechanics and Rock Engineering, International Journal of Rock Mechanics and Mining Sciences, and Canadian Geotechnical Journal. Jiajun Fu Bachelor Student, School of computer science and technology, Beijing University of posts and telecommunications, Beijing, China. Jiajun Fu is a Bachelor student in School of computer science and technology, Beijing University of posts and telecommunications. His research topics are mainly related to big data analysis and process. He has participated in several research projects. He has several high-level technical papers published in journals, and obtained 1 patent.

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