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Bayesian model selection for sand with generalization ability evaluation Journal article
Yin‐Fu Jin, Zhen‐Yu Yin, Wan‐Huan Zhou, Jian‐Fu Shao. Bayesian model selection for sand with generalization ability evaluation[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 2019, 43(14), 2305-2327.
Authors:  Yin‐Fu Jin;  Zhen‐Yu Yin;  Wan‐Huan Zhou;  Jian‐Fu Shao
Favorite | TC[WOS]:52 TC[Scopus]:54  IF:3.4/3.8 | Submit date：2021/03/11
Bayesian Theory  Constitutive Relation  Critical State  Generalization Ability  Sand  Transitional Markov Chain Monte Carlo  
Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method Journal article
Yin-Fu Jin, Zhen-Yu Yin, Wan-Huan Zhou, Suksun Horpibulsuk. Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method[J]. Acta Geotechnica, 2019, 14(6), 1925-1947.
Authors:  Yin-Fu Jin;  Zhen-Yu Yin;  Wan-Huan Zhou;  Suksun Horpibulsuk
Favorite | TC[WOS]:71 TC[Scopus]:77  IF:5.6/6.0 | Submit date：2021/03/11
Bayesian Parameter Identification  Constitutive Model  Clay  Pressuremeter  Sand  Transitional Markov Chain Monte Carlo  
An efficient probabilistic back-analysis method for braced excavations using wall deflection data at multiple points Journal article
Xiao-Hui Qi, Wan-Huan Zhou. An efficient probabilistic back-analysis method for braced excavations using wall deflection data at multiple points[J]. COMPUTERS AND GEOTECHNICS, 2017, 85, 186-198.
Authors:  Xiao-Hui Qi;  Wan-Huan Zhou
Favorite | TC[WOS]:85 TC[Scopus]:93  IF:5.3/5.7 | Submit date：2018/10/30
Bayesian Updating  Braced Excavation  Response Surface Method  Wall Deflection Data  Markov Chain Monte Carlo Method  Finite Element Analysis  
Bayesian Updating of The soil parameters in finite element modeling for a multistage excavation Conference paper
Tan, F., Zhou, W. H., Yuen, K. V.. Bayesian Updating of The soil parameters in finite element modeling for a multistage excavation[C], Hong Kong:The Hong Kong Polytechnic University, 2015, 98-98.
Authors:  Tan, F.;  Zhou, W. H.;  Yuen, K. V.
Favorite |  | Submit date：2022/07/27
back-analysis  bayesian approach  multistage excavation  Markov chain monte carlo simulation  
Dirichlet Process Hidden Markov Multiple Change-point Model Journal article
Ko, Stanley I. M., Chong, Terence T. L., Ghosh, Pulak. Dirichlet Process Hidden Markov Multiple Change-point Model[J]. Bayesian Analysis, 2015, 10(2), 275–296.
Authors:  Ko, Stanley I. M.;  Chong, Terence T. L.;  Ghosh, Pulak
Favorite | TC[WOS]:40 TC[Scopus]:41  IF:4.9/4.2 | Submit date：2019/11/11
Nonparametric Bayesian  Change-point  Dirichlet Process  Hidden Markov Model  Markov Chain Monte Carlo  
Spherical subset simulation (S3) for solving non-linear dynamical reliability problems Journal article
Lambros Katafygiotis, Sai Hung Cheung, Ka-Veng Yuen. Spherical subset simulation (S3) for solving non-linear dynamical reliability problems[J]. International Journal of Reliability and Safety, 2010, 4(2-3), 122-138.
Authors:  Lambros Katafygiotis;  Sai Hung Cheung;  Ka-Veng Yuen
Favorite | TC[Scopus]:17 | Submit date：2019/02/12
Spherical Subset Simulation  Non-linear Dynamic Reliability  Dynamic Reliability  Failure Probability  Mcmc  Markov Chain Monte Carlo  Slice Sampling  
Structural damage detection and assessment by adaptive Markov chain Monte Carlo simulation Journal article
Ka-Veng Yuen, James L. Beck, Siu Kui Au. Structural damage detection and assessment by adaptive Markov chain Monte Carlo simulation[J]. Structural Control and Health Monitoring, 2004, 11(4), 327.
Authors:  Ka-Veng Yuen;  James L. Beck;  Siu Kui Au
Favorite | TC[Scopus]:68  IF:4.6/5.5 | Submit date：2018/10/30
Bayesian Updating  Damage Assessment  Damage Detection  Markov Chain Monte Carlo Simulation  Structural Reliability  Failure Probability