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A platform for research: civil engineering, architecture and urbanism
CPT-Based Probabilistic Characterization of Effective Friction Angle of Sand
Recent development and implementation of reliability-based design codes around the world underscore the needs of probabilistic characterization of soil properties. A Bayesian approach is presented in this paper to characterize probabilistically the effective friction angle φ' of sand using CPT data. The Bayesian framework is developed in conjunction with random field theory to model the inherent spatial variability and regression model to relate CPT measurements with φ'. The likelihood function and posterior distributions of uncertain parameters are derived. A sensitivity study is carried out to explore the effects of prior mean, variance, and correlation length on posterior mean.
CPT-Based Probabilistic Characterization of Effective Friction Angle of Sand
Recent development and implementation of reliability-based design codes around the world underscore the needs of probabilistic characterization of soil properties. A Bayesian approach is presented in this paper to characterize probabilistically the effective friction angle φ' of sand using CPT data. The Bayesian framework is developed in conjunction with random field theory to model the inherent spatial variability and regression model to relate CPT measurements with φ'. The likelihood function and posterior distributions of uncertain parameters are derived. A sensitivity study is carried out to explore the effects of prior mean, variance, and correlation length on posterior mean.
CPT-Based Probabilistic Characterization of Effective Friction Angle of Sand
Cao, Zijun (author) / Wang, Yu (author) / Au, Siu-Kui (author)
Georisk 2011 ; 2011 ; Atlanta, Georgia, United States
GeoRisk 2011 ; 403-410
2011-06-21
Conference paper
Electronic Resource
English
CPT-Based Probabilistic Characterization of Effective Friction Angle of Sand
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