Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River

Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River

Constructing a shield tunnel that crosses under a river poses considerable safety risks, and risk assessment is essential for guaranteeing the safety of tunnel construction. This paper studies a risk assessment system for a shield tunnel crossing under a river. Risk identification is performed for t...

Full description

Bibliographic Details
Main Authors: Xiao Liang, Taiyue Qi, Zhiyi Jin, Shaojie Qin, Pengtao Chen
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/8840200
id doaj-257f02e4f167406e9988784332fa788a
record_format Article
spelling doaj-257f02e4f167406e9988784332fa788a2020-11-30T09:11:24ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88402008840200Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a RiverXiao Liang0Taiyue Qi1Zhiyi Jin2Shaojie Qin3Pengtao Chen4Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Chengdu, ChinaKey Laboratory of Transportation Tunnel Engineering, Ministry of Education, Chengdu, ChinaKey Laboratory of Transportation Tunnel Engineering, Ministry of Education, Chengdu, ChinaKey Laboratory of Transportation Tunnel Engineering, Ministry of Education, Chengdu, ChinaKey Laboratory of Transportation Tunnel Engineering, Ministry of Education, Chengdu, ChinaConstructing a shield tunnel that crosses under a river poses considerable safety risks, and risk assessment is essential for guaranteeing the safety of tunnel construction. This paper studies a risk assessment system for a shield tunnel crossing under a river. Risk identification is performed for the shield tunnel, and the risk factors and indicators are determined. The relationship between the two is determined preliminarily by numerical simulation, the numerical simulation results are verified by field measurements, and a sample set is established based on the numerical simulation results. Fuzzy comprehensive evaluation and a backpropagation neural network are then used to evaluate and analyze the risk level. Finally, the risk assessment system is used to evaluate the risk for Line 5 of the Hangzhou Metro in China. Based on the evaluation results, adjustments to the slurry strength, grouting pressure, and soil chamber pressure are proposed, and the risk is mitigated effectively.http://dx.doi.org/10.1155/2020/8840200
collection DOAJ
language English
format Article
sources DOAJ
author Xiao Liang
Taiyue Qi
Zhiyi Jin
Shaojie Qin
Pengtao Chen
spellingShingle Xiao Liang
Taiyue Qi
Zhiyi Jin
Shaojie Qin
Pengtao Chen
Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
Advances in Civil Engineering
author_facet Xiao Liang
Taiyue Qi
Zhiyi Jin
Shaojie Qin
Pengtao Chen
author_sort Xiao Liang
title Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
title_short Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
title_full Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
title_fullStr Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
title_full_unstemmed Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
title_sort risk assessment system based on fuzzy composite evaluation and a backpropagation neural network for a shield tunnel crossing under a river
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8086
1687-8094
publishDate 2020-01-01
description Constructing a shield tunnel that crosses under a river poses considerable safety risks, and risk assessment is essential for guaranteeing the safety of tunnel construction. This paper studies a risk assessment system for a shield tunnel crossing under a river. Risk identification is performed for the shield tunnel, and the risk factors and indicators are determined. The relationship between the two is determined preliminarily by numerical simulation, the numerical simulation results are verified by field measurements, and a sample set is established based on the numerical simulation results. Fuzzy comprehensive evaluation and a backpropagation neural network are then used to evaluate and analyze the risk level. Finally, the risk assessment system is used to evaluate the risk for Line 5 of the Hangzhou Metro in China. Based on the evaluation results, adjustments to the slurry strength, grouting pressure, and soil chamber pressure are proposed, and the risk is mitigated effectively.
url http://dx.doi.org/10.1155/2020/8840200
work_keys_str_mv AT xiaoliang riskassessmentsystembasedonfuzzycompositeevaluationandabackpropagationneuralnetworkforashieldtunnelcrossingunderariver
AT taiyueqi riskassessmentsystembasedonfuzzycompositeevaluationandabackpropagationneuralnetworkforashieldtunnelcrossingunderariver
AT zhiyijin riskassessmentsystembasedonfuzzycompositeevaluationandabackpropagationneuralnetworkforashieldtunnelcrossingunderariver
AT shaojieqin riskassessmentsystembasedonfuzzycompositeevaluationandabackpropagationneuralnetworkforashieldtunnelcrossingunderariver
AT pengtaochen riskassessmentsystembasedonfuzzycompositeevaluationandabackpropagationneuralnetworkforashieldtunnelcrossingunderariver
_version_ 1715027893660155904

Similar Items