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

详细信息	查看全文 | 推荐本文 |

• 作者：Lei Wang^a ; ^{lwang6@clemson.edu} ; Nadarajah Ravichandran^a ; C. Hsein Juang^a ; ^b
• 关键词：Probability ; Bayesian updating ; Parameter uncertainty ; Model uncertainty ; Braced excavation ; Ground settlement ; Centrifuge test
• 刊名：Computers and Geotechnics
• 出版年：2012
• 期刊代码：38_0266352x
• 类别：et
• 出版时间：June, 2012
• 卷：44
• 期：Complete
• 页码：1-8
• 文件大小：495 K

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.