Practice of Bayesian Probability Theory in Geotechnical Engineering (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	November 2020
First published:	2021
Authors:	Wanhuan Zhou • Zhenyu Yin • Ka-Veng Yuen
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	324
Edition:	1st ed. 2021
ISBN-13:	978-981-15-9104-4
Languages:	English
Subtitles:	Chinese
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Earth & environment > Earth sciences > Meteorology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-15-9104-0
Barcode:	9789811591044

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