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Lei Wang, Nadarajah Ravichandran, C. In this paper, a Bayesian approach for updating a semi-empirical model for predicting excavation-induced maximum ground settlement using centrifuge test data is presented. The Bayesian approach involves three steps: 1 prior estimate of the maximum ground settlement and model bias factor, 2 establishment of the likelihood function and posterior distribution of the model bias factor using the settlement measurement in the centrifuge test, and 3 development of posterior distribution of the predicted maximum settlement. This Bayesian approach is demonstrated with a case study of a well-documented braced excavation, and the results show that the accuracy of the maximum settlement prediction can be improved and the model uncertainty can be reduced with Bayesian updating. T1 - Bayesian updating of KJHH model for prediction of maximum ground settlement in braced excavations using centrifuge data. N1 - Funding Information: The anonymous reviewers are thanked for their constructive comments that have helped sharpen the work presented in this paper. The authors also wish to thank Dr. Jie Zhang of Tongji University for helpful discussions of the work presented. Finally, the first author wishes to thank Glenn Department of Civil Engineering, Clemson University for its financial support. N2 - In this paper, a Bayesian approach for updating a semi-empirical model for predicting excavation-induced maximum ground settlement using centrifuge test data is presented. AB - In this paper, a Bayesian approach for updating a semi-empirical model for predicting excavation-induced maximum ground settlement using centrifuge test data is presented. Bayesian updating of KJHH model for prediction of maximum ground settlement in braced excavations using centrifuge data. Hsein Juang. Computers and Geotechnics , 44 ,
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Kjhh
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Nyumba Ndogo. Hsein N1 - Funding Information: The anonymous reviewers are thanked for their constructive comments that have helped sharpen the work presented in this paper. Your order is processing, and it may take up to a few days for the service provider to handle your payment. Jie Zhang of Tongji University for helpful discussions of the work presented. Explore Plus. Now you have access to all the features of Boomplay App. Lei Wang, Nadarajah Ravichandran, C. Heat Sealers. Hsein Juang. Add 3 Items to Cart. What do you think of this playlist? AB - In this paper, a Bayesian approach for updating a semi-empirical model for predicting excavation-induced maximum ground settlement using centrifuge test data is presented. Add to cart Buy Now. Completed: Your order has been successfully paid.
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Such Kinda Love ft. In this paper, a Bayesian approach for updating a semi-empirical model for predicting excavation-induced maximum ground settlement using centrifuge test data is presented. Due Today. Lei Wang, Nadarajah Ravichandran, C. This site uses cookies. Computers and Geotechnics , 44 , I Need You. Finally, the first author wishes to thank Glenn Department of Civil Engineering, Clemson University for its financial support. Hsein N1 - Funding Information: The anonymous reviewers are thanked for their constructive comments that have helped sharpen the work presented in this paper. You'll lose your subscription if we don't have a working payment method for your account, so please check your payment details. Arrow Bwoy. Hsein Juang.
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