Rock Mechanics and Engineering

Prediction and Control of Landslides and Geological Disasters

1st Edition - November 24, 2020
Authors: Helin Fu, Wei Chen, Jiajun Fu
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 4 2 4 - 3
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 4 2 6 - 7

Rock Mechanics and Engineering: Prediction and Control of Landslides and Geological Disasters presents the state-of-the-art in monitoring and forecasting geotechnical hazards d… Read more

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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.

1 OVERVIEW OF RESEARCH AT HOME AND ABROAD

2 SIMILAR SIMULATION TEST OF LANDSLIDE FIELF2.1 PURPOSE AND SIGNIFICANCE2.2 SIMULATED TEST SITE2.3 FIELD SIMULATION TEST OF LANDSLIDE TRIGGERED BY ARTIFICIAL RAINFALL2.4 FIELD SIMULATION TEST OF LANDSLIDE INDUCED BY MECHANICAL EXCAVATION2.5 MAIN CONCLUSIONS

3 ROCKFALL MECHANISM AND BLOCK THEORETICAL STABILITY ANALYSIS3.1 GENERATION MECHANISM OF ROCKFALL3.2 STABILITY ANALYSIS OF SLIDING ROCKFALL BLOCK THEORY3.3 STABILITY CALCULATION FOR POTENTIAL ROCKFALL3.4 CHAPTER SUMMARY

4 POTENTIAL HAZARD PREDICTION OF COLLAPSE4.1 INTRODUCTION4.2 RESEARCH METHODS FOR PREDICTING POTENTIAL HAZARDS OF LANDSLIDES4.3 KINEMATIC EQUATION OF ROCKFALL AND DETERMINATION OF ITS PARAMETERS4.4 SUMMARY OF THIS CHAPTER

5 LABORATORY TEST5.1 INDOOR COLLAPSE SIMULATION TEST CONCLUSION5.2 INDOOR ACOUSTIC EMISSION TEST5.3 IN-SITU ROCK ACOUSTIC EMISSION CHARACTERISTICS EXPERIMENT5.4 MAIN CONCLUSIONS

6 DISASTER MECHANISM AND REGULARITY OF LANDSLIDE AND COLLAPSE ON HIGH-SPEED RAILWAY6.1 DEVELOPMENTAL CHARACTERISTICS6.2 FORMATION CONDITIONS OF RAILWAY GEOLOGICAL DISASTERS6.3 MAIN CONCLUSIONS

7 GEOLOGICAL BASIS7.1 MONITORING AND PREDICTION OF LANDSLIDES AND COLLAPSES ON HIGH SPEED RAILWAY7.2 STABILITY EVALUATION OF LANDSLIDES AND COLLAPSES7.3 THE MAIN CONCLUSION

8 MONITORING TECHNOLOGY OF LANDSLIDE AND COLLAPSE OF HIGH SPEED RAILWAY8.1 SUMMARY OF SLOPE INFORMATION MONITORING8.2 MAJOR MONITORING INSTRUMENTS8.3 COMMON MONITORING METHODS8.4 COMPREHENSIVE MONITORING OF NETWORK LAYOUT8.5 MONITORING DURATION AND FREQUENCY8.6 TYPES AND ANALYSIS OF DEEP DISPLACEMENT CURVES8.7 SLOPE AUTOMATION MONITORING SYSTEM8.8 GROUP SURVEY AND GROUP PREVENTION MONITORING SYSTEM8.9 TDR MONITORING SYSTEM RESEARCH8.10 MAIN CONCLUSIONS

9 LANDSLIDE AND COLLAPSE PREDICTION TECHNOLOGY9.1 BASIC PROBLEMS OF PREDICTION AND FORECASTING9.2 THEORY AND METHOD OF LANDSLIDE AND COLLAPSE PREDICTION9.3 COLLAPSE GRAY-MUTATION THEORY PREDICTION9.4MONITORING DATA PROCESSING PROGRAM RESEARCH

10 MONITORING AND FORECASTING OF LANDSLIDES AND COLLAPSES IN VARIOUS STAGES OF HIGH-SPEED RAILWAYS10.1 LANDSLIDE AND COLLAPSE MONITORING AND PREDICTION IN SURVEY AND DESIGN STAGE10.2 MONITORING AND PREDICTION OF LANDSLIDES AND COLLAPSES IN CONSTRUCTION STAGE10.3 MONITORING AND PREDICTION OF LANDSLIDES AND COLLAPSES IN OPERATION STAGE10.4 MAIN CONCLUSIONS

11 RELYING ON ENGINEERING APPLICATION11.1 QINGLONG LANDSLIDE MONITORING AND FORECASTING TECHNOLOGY11.2 MONITORING AND PREDICTION ANALYSIS OF PU'ANTANG COLLAPSE11.3 HUAI SHAOHENG RAILWAY DK324 SLOPE SLIP ANALYSIS

12 IN Conclusion

Helin Fu

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.

Affiliations and expertise

Professor, Geotechnical and Underground Engineering, School of Civil Engineering, Zhongnan University, China

Wei Chen

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.

Affiliations and expertise

Associate Professor and Master Tutor, School of Civil Engineering, Central South University, Changsha, China

Jiajun Fu

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.

Affiliations and expertise

Bachelor Student, School of computer science and technology, Beijing University of posts and telecommunications, Beijing, China