Overview
The first monograph that develops probabilistic approaches for probabilistic characterization of geotechnical properties and underground stratigraphy using limited information obtained from geotechnical site characterization at a specific site
Allows geotechnical practitioners to perform probabilistic analysis and design using project-specific statistics and probability distributions of geotechnical properties
Solve problems when implementing Monte Carlo simulation in practical probabilistic analysis of slope stability
Facilitate the understanding of uncertainty propagation in geotechnical engineering
Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Cao is currently an Associate Professor in School of Water Resources and Hydropower Engineering in Wuhan University, China. He obtained his Ph.D from City University of Hong Kong in 2012 and has published 15 journal papers, most of which in the top international journals in Geotechnical Engineering and Reliability Engineering. He is also co-author of 20 conference papers. His major research interests focus on probabilistic geotechnical site characterization, probabilistic analysis and reliability-based design of geotechnical structures (e.g., slopes, foundations), and Bayesian analysis in geotechnical risk and reliability. He is an invited reviewer of several leading international journals, e.g., Journal of Geotechnical and Geo-environmental Engineering (ASCE), Canadian Geotechnical Journal, Engineering Geology, Structural Safety, Structural and Multidisciplinary Optimization, Georisk, etc.
2nd Author (Prof. Yu Wang)
Dr. Yu Wang is currently an Associate Professor in City University of Hong Kong, Hong Kong. He obtained his Ph.D from Cornell University in 2006 and has published more than 30 journal papers, most of which in the Top 4 international journals in Geotechnical Engieering. Dr. Wang specializes in geotechnical risk and reliability, geotechnical earthquake engineering, lifeline systems, soil structure interaction, and soil property characterization using laboratory and field tests. He is the recipient of the first Wilson Tang Best Paper Award and is the member of ASCE Geo-Institute TC on Risk Assessment and Management, ISSMGE TC304 on Engineering Practice of Risk Assessment and Management, ISSMGE TC102 on Ground Property Characterization from In-Situ Tests. Dr. Wang was elected as the President of ASCE Hong Kong Section in 2012.
3rd Author (Prof. Dianqing Li)
Dr. Li is currently a Professor in School of Water Resources and Hydropower Engineering in Wuhan University, China. His major reseach areas focus on probabilistic modeling of uncertainties in geotechnical properties, probabilistic analysis of slope stability, risk assessment, management, and mitigation in geotechnical engineering. Dr. Li has published more than 40 journal papers in leading international journals in Geotechnical Engieering and Reliability Engieering. He is currently an editorial board member (EBM) of Georisk, an international journal dedicated to assessment and management of risk for engineered systems and geohazards, and an EBM of Journal of Risk and Uncertainty Analysis. He is a recipient of several academic awards in recognition of his significant contributions in geotechnical and reliability engineering, including the Distinguished Young Scholor Award of the National Science Foundation of China, the First Class Award in Scientific and Technological Progress of the Ministry of Education in China, Junior and Senior Leading Scientists, Engineers and Innovators Award of Ministry of Science and Technology in China.
Bibliographic Information
Book Title: Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis
Authors: Zijun Cao, Yu Wang, Dianqing Li
DOI: https://doi.org/10.1007/978-3-662-52914-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Zhejiang University Press and Springer-Verlag Berlin Heidelberg 2017
Hardcover ISBN: 978-3-662-52912-6Published: 16 August 2016
Softcover ISBN: 978-3-662-57094-4Published: 12 June 2018
eBook ISBN: 978-3-662-52914-0Published: 06 August 2016
Edition Number: 1
Number of Pages: XVI, 190
Number of Illustrations: 48 b/w illustrations, 7 illustrations in colour
Topics: Geoengineering, Foundations, Hydraulics, Geotechnical Engineering & Applied Earth Sciences, Numerical Analysis, Simulation and Modeling