Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1155/2020/8840200
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2020/8840200
- https://downloads.hindawi.com/journals/ace/2020/8840200.pdf
- OA Status
- gold
- Cited By
- 19
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3100141898
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3100141898Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2020/8840200Digital Object Identifier
- Title
-
Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a RiverWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Xiao Liang, Taiyue Qi, Zhiyi Jin, Shaojie Qin, Pengtao ChenList of authors in order
- Landing page
-
https://doi.org/10.1155/2020/8840200Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/ace/2020/8840200.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/ace/2020/8840200.pdfDirect OA link when available
- Concepts
-
Shield, Backpropagation, Risk assessment, Artificial neural network, Computer simulation, Environmental science, Civil engineering, Engineering, Computer science, Simulation, Geology, Artificial intelligence, Petrology, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3, 2023: 4, 2022: 7, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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