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Electronic Resource

Practice of Bayesian Probability Theory in Geotechnical Engineering

Zhou, Wan-Huan - Personal Name; Yin, Zhen-Yu - Personal Name; Yuen, Ka-Veng - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908000339EB0000803624.151 Zho pCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
624.151 Zho p
Publisher
Singapore : Springer Singapore., 2020
Collation
xxvii, 324p.:Ill
Language
English
ISBN/ISSN
978-981-15-9105-1
Classification
624.151
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
-
Subject(s)
Geotechnical Engineering
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Practice of Bayesian Probability Theory in Geotechnical Engineering
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