Practice of Bayesian probability theory in geotechnical engineering /

Practice of Bayesian probability theory in geotechnical engineering /

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Bibliographic Details
Author / Creator:	Zhou, Wan-Huan, author.
Imprint:	Singapore : Springer, [2021]
Description:	1 online resource (xxvii, 324 pages) : illustrations (some color)
Language:	English
Subject:	Geotechnical engineering -- Mathematics. Probabilities. Bayesian statistical decision theory. Engineering geology. Foundations. Hydraulics. Artificial intelligence. Computer simulation. Artificial intelligence. Computer simulation. Engineering geology. Foundations. Geotechnical engineering. Hydraulics. Probabilities. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12610308

Hidden Bibliographic Details
Other authors / contributors:	Yin, Zhen-Yu, author. Yuen, Ka-Veng, author.
ISBN:	9789811591051 9811591059 9789811591044
Notes:	"Jointly published with Tongji University Press." Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed January 22, 2021).
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.
Other form:	Print version: 9811591040
Standard no.:	10.1007/978-981-15-9105-1

Description
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. <br> 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. <br>
Item Description:	"Jointly published with Tongji University Press."
Physical Description:	1 online resource (xxvii, 324 pages) : illustrations (some color)
Bibliography:	Includes bibliographical references.
ISBN:	9789811591051 9811591059 9789811591044