Practice of Bayesian Probability Theory in Geotechnical Engineering
Springer Verlag, Singapore
978-981-15-9107-5 (ISBN)
This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.
Wan-Huan ZHOU is currently Head and Associate Professor of the Department of Civil and Environmental Engineering and Interim Director of Centre for Regional Ocean at the University of Macau. Prof. Zhou received her B.Eng. degree in 2002 and M.Sc. degree in 2005 from Zhejiang University in China and Ph.D. in Geotechnical Engineering from The Hong Kong Polytechnic University in 2008. After graduation, she worked as a Lecturer at The Hong Kong Polytechnic University and later joined the University of Macau in September 2009. She has acted as Principal Investigator on 11 research projects, including grants from the National Natural Science Foundation (NSFC) and the Macao Science and Technology Development Fund (FDCT). She has published more than 40 SCI articles as the first or correspondent author in geotechnical journals, such as Journal of Geotechnical and Geoenvironmental Engineering, ASCE and Canadian Geotechnical Journal. She won the 2011 best paper award of the International Association. Zhen-Yu YIN is an Associate Professor of Geotechnical Engineering at The Hong Kong Polytechnic University since 2018. Dr. Yin received his BSc in Civil Engineering from Zhejiang University in 1997, followed by a 5 years engineering consultancy at the Zhejiang Jiahua Architecture Design Institute. Then, he obtained his MSc and PhD in Geotechnical Engineering at Ecole Centrale de Nantes (France) in 2003 and 2006 respectively. Then he has been working as postdoctoral researcher at Helsinki University of Technology (Finland), University of Strathclyde (Glasgow, UK), Ecole Centrale de Nantes and University of Massachusetts (Umass-Amherst, USA). In 2010 he joined Shanghai Jiao Tong University as Special Researcher and received “Professor of Exceptional Rank of Shanghai Dong-Fang Scholar”. In 2013 he joined Ecole Centrale de Nantes as Associate Professor before moving to Hong Kong. Dr. Yin has published over 160 articles in peer reviewed international journals with an H index of35 according to Web of Science. Since 2012 he is a member of the granular materials committee of American Society of Civil Engineers. Ka-Veng Yuen is the Dean of Graduate School and Distinguished Professor of Civil and Environmental Engineering (CEE) of the University of Macau. He received his Ph.D. in Civil Engineering from the California Institute of Technology (Caltech) after a study period of 2 years and 7 months. His major awards include Young Investigator Award, International Chinese Association on Computational Mechanics; QIAN Weichang program scholar, K.C. Wong Education Foundation; Phi-Tau-Phi Honorary member and the Housner’s Fellowship. His paper “Model selection using response measurements: Bayesian probabilistic approach” (co-authored with J.L. Beck) is one of the top 10 most cited papers among all papers published in the Journal of Engineering Mechanics (established since 1983) of the American Society of Civil Engineers. Furthermore, his single-author book “Bayesian methods for structural dynamics and civil engineering” (published by the top publisher John Wiley & Sons in 2010) has attracted great attention of Bayesian methods for structural dynamics. It has become a classical reading in this research field. His H index is 30 according to Web of Science.
Problem of Uncertainties in Geotechnical Engineering.- Estimation of SWCC and Permeability for Granular Soils.- Modeling SWCC for Coarse-Grained and Fine-Grained Soil.- Model Updating and Uncertainty Analysis for Creep of Clay.- Effect of Loading Duration on Uncertainty in Creep Analysis for Clay.- Model Class Selection for Sand with Generalization Ability Evaluation.- Parametric Identification of Advanced Soil Models for Sand.- Estimation of Pullout Shear Strength of Grouted Soil Nails.- Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement.- An Efficient Probabilistic Back-analysis Method for Braced Excavations.
| Erscheinungsdatum | 22.11.2021 |
|---|---|
| Zusatzinfo | 137 Illustrations, color; 68 Illustrations, black and white; XXVII, 324 p. 205 illus., 137 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Original-Titel | Practice of Bayesian Probability Theory in Geotechnical Engineering |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Naturwissenschaften ► Geowissenschaften ► Geologie | |
| Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie | |
| Technik ► Bauwesen | |
| Schlagworte | Bayesian probability theory • constitutive model • Geotechnical Engineering • Laboratory Test • numerical simulation • probabilistic analysis |
| ISBN-10 | 981-15-9107-5 / 9811591075 |
| ISBN-13 | 978-981-15-9107-5 / 9789811591075 |
| Zustand | Neuware |
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