Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis
This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained fr
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babilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis
Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis
Zijun Cao Yu Wang Dianqing Li •
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Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis
123
Zijun Cao State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Wuhan, Hubei China
Dianqing Li State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Wuhan, Hubei China
Yu Wang City University of Hong Kong Hong Kong China
Jointly published with Zhejiang University Press ISBN 978-3-662-52912-6 DOI 10.1007/978-3-662-52914-0
ISBN 978-3-662-52914-0
(eBook)
Library of Congress Control Number: 2016944341 © Zhejiang University Press and Springer-Verlag Berlin Heidelberg 2017 This work is subject to copyright. All rights are reserved by the Publishers, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publishers, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publishers nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer-Verlag GmbH Berlin Heidelberg
Preface
In the last few decades, reliability-based design (RBD) approaches/codes and probabilistic analysis methods, such as probabilistic slope stability analysis with Monte Carlo simulation (MCS), have been developed for geotechnical structures to deal rationally with various uncertainties (e.g., inherent spatial variability of soils and uncertainties arising during geotechnical site characterization) in geotechnical engineering. Applications of the RBD approaches/codes and probabilistic analysis methods in turn call for the needs of probabilistic site characterization, which describes probabilistically soil properties and underground stratigraphy based on both prior knowledge (i.e., site information available prior to the project) and project-specific test results. How to combine systematically prior knowledge and project-specific test results in a probabilistic manner, however, is a challenging task. This problem is furth
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