Slope Stochastic Dynamics
Springer Verlag, Singapore
978-981-16-9699-2 (ISBN)
This book provides a new framework for analysis of slope nonlinear stochastic seismic dynamic response based on the new theoretical tool of stochastic dynamics. The coupling effects of uncertainty of geological parameters, strong dynamic nonlinearity, and randomness of ground motion are considered in the process of the seismic dynamic stability assessment of slope. In this book, an intensity frequency non-stationary stochastic ground motion model based on time-domain stochastic process description is preliminarily established to characterize the randomness of earthquakes. The spatial distribution random field model of geotechnical parameters is established to describe the time-space variability of geotechnical parameters. Based on the basic theory of stochastic dynamics, the seismic stability performance evaluation method of slope is established. The slope seismic dynamic model test based on large complex shaking table is performed to verify and modify the proposed framework and method. This book sheds new light on the development of nonlinear seismic stochastic dynamics and seismic design of slope engineering.
Prof. Yu Huang received his Ph.D. in Geotechnical Engineering from Tongji University, Shanghai, China. He is now the “Distinguished Professor of Changjiang Scholars of the Ministry of Education” in geological engineering at the College of Civil Engineering, Tongji University. Professor Huang’s primary area of research includes earthquake geotechnical engineering, geologic disasters, computational geomechanics, foundation engineering and environmental geology. He has authored more than 200 technical publications, including more than 120 papers in international refereed journals such as the Bulletin of Engineering Geology and the Environment, Engineering Geology, Landslides, Natural Hazards, Environmental Earth Sciences, Geotextiles and Geomembranes, and Acta Geotechnical. As the first author, He has written two monographs entitled “Geo-disaster modeling and analysis: An SPH-based approach” published by Springer-Verlag in 2014 and “Hazard Analysis of Seismic Soil Liquefaction” publishedby Springer-Verlag in 2017. He now serves on the editorial board for the Engineering Geology (Elsevier), Bulletin of Engineering Geology and the Environment (the official journal of IAEG, Springer), Geotechnical Research (ICE) and Geoenvironmental Disasters (Springer). Prof. Huang received the National Science Fund for Distinguished Young Scholars from the National Natural Science Foundation of China for his work on geological disasters triggered by earthquakes. Dr. Min Xiong received his Ph.D. from Tongji University under the guidance of Prof. Yu Huang. He received his bachelor’s and master’s degree in Civil engineering at Three Gorges University. He is currently working at the Tongji University as a postdoc research fellow. Dr. Liuyuan Zhao received his bachelor’s degree and Ph.D. from Tongji University under the guidance of Prof. Yu Huang. He is currently working at the Power China Huadong Engineering Corporation Limited as a postdoc research fellow.
Introduction.-Theoretical framework of slope stochastic dynamics.-Numerical simulation and application of slope stochastic seismic response analysis.-Dynamic failure mechanism and post-failure behavior analysis of slopes.-Stochastic seismic response analysis of slopes based on large shaking table test.-Conclusions and prospects
| Erscheinungsdatum | 07.02.2023 |
|---|---|
| Zusatzinfo | 79 Illustrations, color; 7 Illustrations, black and white; XXII, 155 p. 86 illus., 79 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Naturwissenschaften ► Biologie ► Ökologie / Naturschutz |
| Naturwissenschaften ► Geowissenschaften ► Geologie | |
| Technik ► Bauwesen | |
| Schlagworte | Dynamic vulnerability • Large table shaking test • Nonlinear dynamic reliability • Seismic dynamic response • Slope research • Uncertainty and randomness |
| ISBN-10 | 981-16-9699-3 / 9811696993 |
| ISBN-13 | 978-981-16-9699-2 / 9789811696992 |
| Zustand | Neuware |
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