Bayesian updating of KJHH model for prediction of maximum ground settlement in braced excavations using centrifuge data

NCUIR > Engineering College > Department of Civil Engineering > journal & Dissertation > Item 987654321/99692

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Title:	Bayesian updating of KJHH model for prediction of maximum ground settlement in braced excavations using centrifuge data
Authors:	莊長賢;Wang, Lei;Ravichandran, Nadarajah;Juang, C. Hsein
Contributors:	工學院土木工程學系
Keywords:	Bayesian analysis;Bayesian updating;Bias;Braced;Braced excavation;Centrifuge test;Centrifuges;Excavation;Ground settlement;Grounds;Mathematical models;Model uncertainty;Parameter uncertainty;Probability;Settlements
Date:	2012-06-01
Issue Date:	2026-04-21 13:27:54 (UTC+8)
Publisher:	Elsevier BV;Elsevier Ltd
Abstract:	摘要： 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. 出版者： Elsevier Ltd 出版日期： 2012-06 出處： Computers and geotechnics, 2012-06, Vol.44, p.1-8 資源來源： Elsevier ScienceDirect 版權： 2012 Elsevier Ltd 識別號： ISSN: 0266-352X 識別號： EISSN: 1873-7633 識別號： DOI: 10.1016/j.compgeo.2012.03.003
Appears in Collections:	[Department of Civil Engineering] journal & Dissertation

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