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Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River
- Source :
- Advances in Civil Engineering, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi Limited, 2020.
-
Abstract
- 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.
- Subjects :
- Article Subject
Computer simulation
Artificial neural network
Computer science
0211 other engineering and technologies
020101 civil engineering
Sample (statistics)
02 engineering and technology
Engineering (General). Civil engineering (General)
Fuzzy logic
Backpropagation
0201 civil engineering
Chamber pressure
Shield
TA1-2040
Risk assessment
021101 geological & geomatics engineering
Civil and Structural Engineering
Marine engineering
Subjects
Details
- Language :
- English
- ISSN :
- 16878094 and 16878086
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Advances in Civil Engineering
- Accession number :
- edsair.doi.dedup.....401a893fce05133c72fd7f59b9131b44