Guidelines for Probabilistic Performance-Based Seismic Design and Assessment of Slope Engineering (eBook)

This book provides a new design and evaluation framework based on slope Stochastic Dynamics theory to probabilistic seismic performance for slope engineering. For the seismic dynamic stability safety of slope, it shifts from deterministic seismic dynamic analysis to quantitative analysis based on nonlinear stochastic dynamics, that is, from qualitative to the description of stochasticity of earthquake excitation that meet the needs in related design specification and establish a performance standard. In the nonlinear dynamic time history analysis of slope subjected to seismic ground motion, the term 'randomness' is used to express the uncertainty in the intensity and frequency of earthquake excitation for slope engineering dynamic seismic performance. It mainly includes seismic design fortification standard, corresponding ground motion excitation, performance index threshold, and slope deterministic nonlinear seismic dynamic response. Even more than that, the seismic dynamic large deformation approaches of the whole process and comprehensive analysis for flow analysis after slope instability failure. Eventually, the probabilistic seismic dynamic performance of the slope engineering will be characterized by nonlinear dynamic reliability.

Prof. Yu Huang, born in 1973, received his Ph.D. in geotechnical engineering from Tongji University, Shanghai, China. He is now a 'Distinguished Professor of Changjiang Scholars of the Ministry of Education' in geological engineering in the College of Civil Engineering at Tongji University. Professor Huang's primary research area includes earthquake geotechnical engineering, geologic disasters, computational geomechanics, foundation engineering, and environmental geology. He has authored more than 150 papers in international refereed journals. As first author, he has written four monographs entitled 'Slope Stochastic Dynamics', 'Geo-disaster Modeling and Analysis: An SPH-based Approach', 'Hazard Analysis of Seismic Soil Liquefaction', and 'Social Infrastructure Maintenance Notebook' published by Springer. He now serves on the editorial board for Engineering Geology, Bulletin of Engineering Geology and the Environment, Geotechnical Research, and Geoenvironmental Disasters. Professor Huang received the National Science Fund for Distinguished Young Scholars from the National Natural Science Foundation of China for his research on geological disasters triggered by earthquakes.

Co-author Min Xiong, born in 1986, received his Ph.D. from Tongji University under the supervision of Prof. Yu Huang. He received his bachelor's and master's degrees in civil engineering at Three Gorges University. He is currently working at Tongji University as a post-doctoral research fellow.

Co-author Hongqiang Hu, born in 1993, received his Ph.D. from Tongji University under the guidance of Prof. Yu Huang. He received his bachelor's degree in geological engineering at Chang'an University. He is currently working at Zhejiang University and the Architectural Design & Research Institute of Zhejiang University Co., Ltd. as a post-doctoral research fellow.

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This book provides a new design and evaluation framework based on slope Stochastic Dynamics theory to probabilistic seismic performance for slope engineering. For the seismic dynamic stability safety of slope, it shifts from deterministic seismic dynamic analysis to quantitative analysis based on nonlinear stochastic dynamics, that is, from qualitative to the description of stochasticity of earthquake excitation that meet the needs in related design specification and establish a performance standard. In the nonlinear dynamic time history analysis of slope subjected to seismic ground motion, the term "e;randomness"e; is used to express the uncertainty in the intensity and frequency of earthquake excitation for slope engineering dynamic seismic performance. It mainly includes seismic design fortification standard, corresponding ground motion excitation, performance index threshold, and slope deterministic nonlinear seismic dynamic response. Even more than that, the seismic dynamic large deformation approaches of the whole process and comprehensive analysis for flow analysis after slope instability failure. Eventually, the probabilistic seismic dynamic performance of the slope engineering will be characterized by nonlinear dynamic reliability.