Bayesian Methods for Geotechnical Applications-A Practical Guide

C. Hsein Juang, Jie Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Bayes' theorem provides a basis for merging information from various sources, which may lead to uncertainty reduction. The application of Bayesian methods in geotechnical engineering, however, is often hindered by the required computational skills. This paper introduces five computational techniques for Bayesian inference, and illustrates them in detail with geotechnical examples. Detailed formulations of these techniques and source codes for implementing them are provided herein so that interested readers can get hand-on experiences applying these techniques. Four real-world examples are provided to illustrate how the Bayesian methods can be applied in geotechnical practice. A possible misuse of the Bayesian methods in geotechnical engineering is also discussed.

Original languageEnglish
Title of host publicationGeotechnical Special Publication
EditorsC. Hsein Juang, Robert B. Gilbert, Limin Zhang, Jie Zhang, Lulu Zhang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages215-246
Number of pages32
EditionGSP 286
ISBN (Electronic)9780784480731
DOIs
StatePublished - 2017
EventGeotechnical Safety and Reliability: Honoring Wilson H. Tang - Denver, United States
Duration: 4 Jun 20177 Jun 2017

Publication series

NameGeotechnical Special Publication
NumberGSP 286
Volume0
ISSN (Print)0895-0563

Conference

ConferenceGeotechnical Safety and Reliability: Honoring Wilson H. Tang
Country/TerritoryUnited States
CityDenver
Period4/06/177/06/17

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