Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network

Under the background of rapid economic development and the continuous expansion of city size, people’s travel is deeply troubled by the problem of urban traffic congestion. Subway is an effective way to relieve traffic pressure and plays an important role in its use. In the process of building the c...

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Autores principales: Qiangqiang Ma, Wentao Li, Yongjun Zhang
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/59e6cfe9f13146e8bab1d51627a1b801
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spelling oai:doaj.org-article:59e6cfe9f13146e8bab1d51627a1b8012021-11-08T02:35:40ZSubway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network1875-919X10.1155/2021/4678744https://doaj.org/article/59e6cfe9f13146e8bab1d51627a1b8012021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4678744https://doaj.org/toc/1875-919XUnder the background of rapid economic development and the continuous expansion of city size, people’s travel is deeply troubled by the problem of urban traffic congestion. Subway is an effective way to relieve traffic pressure and plays an important role in its use. In the process of building the city subway, the excavation of the underground tunnel is the most critical. However, the excavation of the tunnel will inevitably disturb the nearby soil, change the stratum stress conditions, and make the stress distribution uneven. If the surface settlement is too large, it will not only affect the normal construction of the tunnel but also cause damage to the surrounding buildings (structures), roads, underground pipelines, and so on, resulting in very serious malignant consequences. In this study, Cuobuling Station is taken as a case study. First, the construction status of the subway tunnel in the station is analyzed, and then the monitoring results are analyzed. According to the cross-section settlement law, the numerical simulation and neural network are used to build a model, calculate the numerical simulation results, and carry out a risk assessment of regression model. Finally, combined with the tunnel construction situation of the station, according to the risk assessment results, the concrete measures are put forward to deal with the subway tunnel construction settlement problem.Qiangqiang MaWentao LiYongjun ZhangHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Computer software
QA76.75-76.765
spellingShingle Computer software
QA76.75-76.765
Qiangqiang Ma
Wentao Li
Yongjun Zhang
Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
description Under the background of rapid economic development and the continuous expansion of city size, people’s travel is deeply troubled by the problem of urban traffic congestion. Subway is an effective way to relieve traffic pressure and plays an important role in its use. In the process of building the city subway, the excavation of the underground tunnel is the most critical. However, the excavation of the tunnel will inevitably disturb the nearby soil, change the stratum stress conditions, and make the stress distribution uneven. If the surface settlement is too large, it will not only affect the normal construction of the tunnel but also cause damage to the surrounding buildings (structures), roads, underground pipelines, and so on, resulting in very serious malignant consequences. In this study, Cuobuling Station is taken as a case study. First, the construction status of the subway tunnel in the station is analyzed, and then the monitoring results are analyzed. According to the cross-section settlement law, the numerical simulation and neural network are used to build a model, calculate the numerical simulation results, and carry out a risk assessment of regression model. Finally, combined with the tunnel construction situation of the station, according to the risk assessment results, the concrete measures are put forward to deal with the subway tunnel construction settlement problem.
format article
author Qiangqiang Ma
Wentao Li
Yongjun Zhang
author_facet Qiangqiang Ma
Wentao Li
Yongjun Zhang
author_sort Qiangqiang Ma
title Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
title_short Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
title_full Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
title_fullStr Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
title_full_unstemmed Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network
title_sort subway tunnel construction settlement analysis based on the combination of numerical simulation and neural network
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/59e6cfe9f13146e8bab1d51627a1b801
work_keys_str_mv AT qiangqiangma subwaytunnelconstructionsettlementanalysisbasedonthecombinationofnumericalsimulationandneuralnetwork
AT wentaoli subwaytunnelconstructionsettlementanalysisbasedonthecombinationofnumericalsimulationandneuralnetwork
AT yongjunzhang subwaytunnelconstructionsettlementanalysisbasedonthecombinationofnumericalsimulationandneuralnetwork
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