Bayesian Perspective on Ground Property Variability for Geotechnical Practice

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019)
EditorsJianye Ching, Dian-Qing Li, Jie Zhang
PublisherResearch Publishing (S) Pte. Ltd.
Pages63-74
ISBN (Electronic)978-981-11-2725-0, 9789811127250
Publication statusPublished - Dec 2019

Conference

Title7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019)
LocationNational Taiwan University of Science and Technology
PlaceTaiwan
CityTaipei
Period11 - 13 December 2019

Abstract

Soils and rocks are natural heterogeneous geo-materials, and their properties exhibit site-specific spatial variability as an outcome of the previous geological processes that the soils and rocks in the site have undergone. Spatial variability of ground properties and other geotechnical uncertainties may be modelled probabilistically using random variables or random field. Some questions are frequently raised by practicing geotechnical engineers when they consider using probabilistic methods. For example, what is the physical meaning of failure probability and random variable or random field modeling? Is a large amount of data necessary for using probabilistic methods? This paper aims at providing answers to these questions from a Bayesian perspective. Bayesian methods and tools are also presented that were recently developed for characterization of ground property variability from sparse site investigation data.

Research Area(s)

  • Spatial Variability, uncertainty, random variable, random field, physical meaning, Bayesian statistics

Citation Format(s)

Bayesian Perspective on Ground Property Variability for Geotechnical Practice. / Wang, Yu; Zhao, Tengyuan; Cao, Zijun.

Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019). ed. / Jianye Ching; Dian-Qing Li; Jie Zhang. Research Publishing (S) Pte. Ltd., 2019. p. 63-74.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review