Bayesian updating for ground surface settlements of shield tunneling

Accurate prediction of ground surface settlements induced by shield construction is of great significance for ensuring the safety of shield construction. This paper proposes a ground surface settlement prediction method for shield tunneling based on Bayesian updating. The sequential observation data...

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Main Authors: Runjun Chen, Xuetao Zhou, Mengfei Yu, Jian Wu, Yuanqin Tao, Fei Xue, Yapeng Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1321883/full
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author Runjun Chen
Xuetao Zhou
Xuetao Zhou
Mengfei Yu
Jian Wu
Jian Wu
Yuanqin Tao
Fei Xue
Yapeng Zhang
Yapeng Zhang
author_facet Runjun Chen
Xuetao Zhou
Xuetao Zhou
Mengfei Yu
Jian Wu
Jian Wu
Yuanqin Tao
Fei Xue
Yapeng Zhang
Yapeng Zhang
author_sort Runjun Chen
collection DOAJ
description Accurate prediction of ground surface settlements induced by shield construction is of great significance for ensuring the safety of shield construction. This paper proposes a ground surface settlement prediction method for shield tunneling based on Bayesian updating. The sequential observation data during the advance of excavation is utilized to update the key soil parameters, leading to a more accurate settlement prediction for the subsequent excavation stages. Response surfaces are constructed to replace the finite element model as the forward models for higher computational efficiency. A tunnel excavation project in Hangzhou, China, is selected to illustrate the effectiveness of the proposed method. The shield excavation face passes through four soil layers, and two soil parameters (i.e., Young’s modulus and friction angle) of these soil layers are selected as random variables to be updated. The results show that the soil parameters can be effectively updated based on the observation data at multiple points and various excavation stages. The predictions of ground surface settlements are improved by using the updated soil parameters. The prediction accuracy of the proposed method increases as more stages of observation data are sequentially obtained and incorporated.
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spelling doaj.art-f8dd4e9902734113b182bdce79ab8c142023-12-29T04:17:50ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-12-011110.3389/feart.2023.13218831321883Bayesian updating for ground surface settlements of shield tunnelingRunjun Chen0Xuetao Zhou1Xuetao Zhou2Mengfei Yu3Jian Wu4Jian Wu5Yuanqin Tao6Fei Xue7Yapeng Zhang8Yapeng Zhang9Hangzhou Urban Infrastructure Construction Management Center, Hangzhou, ChinaPower China Huadong Engineering Corporation Limited, Hangzhou, ChinaZhejiang Huadong Engineering Construction and Management Corporation Limited, Hangzhou, ChinaCollege of Civil Engineering, Zhejiang University of Technology, Hangzhou, ChinaPower China Huadong Engineering Corporation Limited, Hangzhou, ChinaZhejiang Engineering Research Center of Green Mine Technology and Intelligent Equipment, Hangzhou, ChinaCollege of Civil Engineering, Zhejiang University of Technology, Hangzhou, ChinaHangzhou Urban Infrastructure Construction Management Center, Hangzhou, ChinaPower China Huadong Engineering Corporation Limited, Hangzhou, ChinaZhejiang Engineering Research Center of Green Mine Technology and Intelligent Equipment, Hangzhou, ChinaAccurate prediction of ground surface settlements induced by shield construction is of great significance for ensuring the safety of shield construction. This paper proposes a ground surface settlement prediction method for shield tunneling based on Bayesian updating. The sequential observation data during the advance of excavation is utilized to update the key soil parameters, leading to a more accurate settlement prediction for the subsequent excavation stages. Response surfaces are constructed to replace the finite element model as the forward models for higher computational efficiency. A tunnel excavation project in Hangzhou, China, is selected to illustrate the effectiveness of the proposed method. The shield excavation face passes through four soil layers, and two soil parameters (i.e., Young’s modulus and friction angle) of these soil layers are selected as random variables to be updated. The results show that the soil parameters can be effectively updated based on the observation data at multiple points and various excavation stages. The predictions of ground surface settlements are improved by using the updated soil parameters. The prediction accuracy of the proposed method increases as more stages of observation data are sequentially obtained and incorporated.https://www.frontiersin.org/articles/10.3389/feart.2023.1321883/fullBayesian updatingtunnelresponse surface methodMarkov chain Monte Carlo methodfinite element analysisuncertainty
spellingShingle Runjun Chen
Xuetao Zhou
Xuetao Zhou
Mengfei Yu
Jian Wu
Jian Wu
Yuanqin Tao
Fei Xue
Yapeng Zhang
Yapeng Zhang
Bayesian updating for ground surface settlements of shield tunneling
Frontiers in Earth Science
Bayesian updating
tunnel
response surface method
Markov chain Monte Carlo method
finite element analysis
uncertainty
title Bayesian updating for ground surface settlements of shield tunneling
title_full Bayesian updating for ground surface settlements of shield tunneling
title_fullStr Bayesian updating for ground surface settlements of shield tunneling
title_full_unstemmed Bayesian updating for ground surface settlements of shield tunneling
title_short Bayesian updating for ground surface settlements of shield tunneling
title_sort bayesian updating for ground surface settlements of shield tunneling
topic Bayesian updating
tunnel
response surface method
Markov chain Monte Carlo method
finite element analysis
uncertainty
url https://www.frontiersin.org/articles/10.3389/feart.2023.1321883/full
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