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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8840200 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832565844042842112 |
|---|---|
| author | Xiao Liang Taiyue Qi Zhiyi Jin Shaojie Qin Pengtao Chen |
| author_facet | Xiao Liang Taiyue Qi Zhiyi Jin Shaojie Qin Pengtao Chen |
| author_sort | Xiao Liang |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-257f02e4f167406e9988784332fa788a |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-257f02e4f167406e9988784332fa788a2025-02-03T01:06:22ZengWileyAdvances 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 |
| 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 |
| title | 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_short | 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 |
| 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 |