This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and…mehr
This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice. 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 Professor of the Department of Civil and Environmental Engineering 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 the Principal Investigator (PI) on 15 research projects, including the 2020 Excellent Young Scientists Fund (HK and Macau) from the National Natural Science Foundation of China. She has published more than 70 SCI indexed articles in topranked geotechnical journals. She also serves as an editorial board member in several top geotechnical engineering journals, such as the Canadian Geotechnical Journal and the International Journal of Geomechanics. Zhen-Yu Yin is currently Professor ofGeotechnical Engineering at The Hong Kong Polytechnic University. Prof. Yin received his B.Eng. in Civil Engineering from Zhejiang University in 1997, followed by five years of engineering consultancy at the Zhejiang Jiahua Architecture Design Institute. Then, he obtained his MSc and Ph.D. in Geotechnical Engineering at Ecole Centrale de Nantes (France) in 2003 and 2006, respectively. Prof. Yin has published over 220 articles in peer-reviewed international journals with an H index of 48 according to Web of Science. He is Associate Committee Member of Granular Materials Committee of American Society of Civil Engineers; Associate Editor of "European Journal of Environmental and Civil Engineering" and "Geotechnique Letters"; and Editorial BoardMembers of some top journals in the field of soil mechanics and geotechnical engineering (Canadian Geotechnical Journal, International Journal of Geomechanics ASCE, Soils and Foundations, Acta Geotechnica, Transportation Geotechnics, Computers and Geotechnics, etc.).
Inhaltsangabe
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.
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.
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