Model Updating and Uncertainty Analysis for Creep of Clay
Many researchers have proposed various constitutive models for the purpose of capturing the complex physical mechanisms governing the creep behavior of soft soils. However, the more complex the model, the larger the number of associated uncertain paramete
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Practice of Bayesian Probability Theory in Geotechnical Engineering
Practice of Bayesian Probability Theory in Geotechnical Engineering
Wan-Huan Zhou Zhen-Yu Yin Ka-Veng Yuen •
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Practice of Bayesian Probability Theory in Geotechnical Engineering
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Wan-Huan Zhou State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering University of Macau Macau, China
Zhen-Yu Yin Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong, China
Ka-Veng Yuen State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering University of Macau Macau, China
ISBN 978-981-15-9104-4 ISBN 978-981-15-9105-1 https://doi.org/10.1007/978-981-15-9105-1
(eBook)
Jointly published with Tongji University Press The print edition is not for sale in China (Mainland). Customers from China (Mainland) please order the print book from: Tongji University Press. © Tongji University Press 2021 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. The publishers remain neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
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Foreword
The development of numerical simulations in geomechanics has promoted the construction of advanced constitutive models for soils. However, the limitations of available methods for model class selection and parameter identification make it difficult to efficiently apply these advanced models in practice. The selection of constitutive model affects simulation results, leading to different engineering decisions, which raises the problem of safety, economy, and risk in geotechnical engineering. Therefore, the influence of the choice of constitutive model on decision-mak
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