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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-12-01
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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. |
first_indexed | 2024-03-08T18:43:30Z |
format | Article |
id | doaj.art-f8dd4e9902734113b182bdce79ab8c14 |
institution | Directory Open Access Journal |
issn | 2296-6463 |
language | English |
last_indexed | 2024-03-08T18:43:30Z |
publishDate | 2023-12-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Earth Science |
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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