Practice of Bayesian probability theory in geotechnical engineering / Wan-Huan Zhou, Zhen-Yu Yin, Ka-Veng Yuen.
2021
TA705
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Title
Practice of Bayesian probability theory in geotechnical engineering / Wan-Huan Zhou, Zhen-Yu Yin, Ka-Veng Yuen.
Author
Zhou, Wan-Huan, author.
ISBN
9789811591051 (electronic bk.)
9811591059 (electronic bk.)
9789811591044
9811591059 (electronic bk.)
9789811591044
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource (xxvii, 324 pages) : illustrations (some color)
Other Standard Identifiers
10.1007/978-981-15-9105-1 doi
Call Number
TA705
Dewey Decimal Classification
624.1/51
Summary
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.
Note
"Jointly published with Tongji University Press."
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 22, 2021).
Added Author
Yin, Zhen-Yu, author.
Yuen, Ka-Veng, author.
Yuen, Ka-Veng, author.
Available in Other Form
Print version: 9811591040
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Table of Contents
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.
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.