Bayesian model comparison and characterization of bivariate distribution for shear strength parameters of soil. (March 2018)

• Record Type: Journal Article
• Authors: Zhang, Lei; Li, Dian-Qing; Tang, Xiao-Song; Cao, Zi-Jun; Phoon, Kok-Kwang
• Is Part Of: Computers and geotechnics. Volume 95(2018)
• Page Start: 110
• Page End: 118
• Publication Date: 2018-03
• Subjects: Shear strength parameters -- Joint probability distribution -- Correlation coefficient -- Bayesian approach -- MCMC simulation -- Copula; Engineering geology -- Data processing -- Periodicals; Soil mechanics -- Data processing -- Periodicals; Rock mechanics -- Data processing -- Periodicals; 624.1510285
• DOI: 10.1016/j.compgeo.2017.10.003
• Languages: English
• ISSNs: 0266-352X

Abstract

Abstract: This paper develops a Bayesian approach for model comparison and characterization of the bivariate distribution of c ′ and ϕ ′ using limited site-specific data. The copula approach is presented to model the bivariate distribution of c ′ and ϕ ′. The Bayesian model comparison method is developed to select the most probable bivariate distribution model of c ′ and ϕ ′. The most probable model is used to characterize the joint probability density function (PDF) of c ′ and ϕ ′ under the Bayesian framework. The developed approach is illustrated and validated using real data of c ′ and ϕ ′ for clays from the core wall of Xiaolangdi rockfill dam in China.