Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Risk Assessment of Highway Tunnel Construction Considering Soil Erosion Based on T-S Fuzzy Neural Network
https://orcid.org/http://orcid.org/0009-0007-6471-5389
Risk assessment plays a crucial role in ensuring safety and mitigating potential losses in highway tunnel construction. In response to the challenges commonly encountered in this domain, this paper presents a comprehensive risk assessment index system along with evaluation method to establish a risk assessment model based on the t-s fuzzy neural network. First, the WBS-RBS method was used to identify the risk assessment indices and enhanced by taking soil erosion factor into account. Then, the quantitative criteria of safety risk and risk assessment indices of highway tunnel construction were determined. And the principal component analysis (PCA) method was used to refine and process the quantified indices. As a result, a highway tunnel construction risk assessment model based on the T-S fuzzy neural network was developed and validated using specific construction cases in China. The findings demonstrate the model's validity and reliability, making it a useful reference for similar projects and future research.
Risk Assessment of Highway Tunnel Construction Considering Soil Erosion Based on T-S Fuzzy Neural Network
https://orcid.org/http://orcid.org/0009-0007-6471-5389
Risk assessment plays a crucial role in ensuring safety and mitigating potential losses in highway tunnel construction. In response to the challenges commonly encountered in this domain, this paper presents a comprehensive risk assessment index system along with evaluation method to establish a risk assessment model based on the t-s fuzzy neural network. First, the WBS-RBS method was used to identify the risk assessment indices and enhanced by taking soil erosion factor into account. Then, the quantitative criteria of safety risk and risk assessment indices of highway tunnel construction were determined. And the principal component analysis (PCA) method was used to refine and process the quantified indices. As a result, a highway tunnel construction risk assessment model based on the T-S fuzzy neural network was developed and validated using specific construction cases in China. The findings demonstrate the model's validity and reliability, making it a useful reference for similar projects and future research.
Risk Assessment of Highway Tunnel Construction Considering Soil Erosion Based on T-S Fuzzy Neural Network
https://orcid.org/http://orcid.org/0009-0007-6471-5389
Risk assessment plays a crucial role in ensuring safety and mitigating potential losses in highway tunnel construction. In response to the challenges commonly encountered in this domain, this paper presents a comprehensive risk assessment index system along with evaluation method to establish a risk assessment model based on the t-s fuzzy neural network. First, the WBS-RBS method was used to identify the risk assessment indices and enhanced by taking soil erosion factor into account. Then, the quantitative criteria of safety risk and risk assessment indices of highway tunnel construction were determined. And the principal component analysis (PCA) method was used to refine and process the quantified indices. As a result, a highway tunnel construction risk assessment model based on the T-S fuzzy neural network was developed and validated using specific construction cases in China. The findings demonstrate the model's validity and reliability, making it a useful reference for similar projects and future research.
Risk Assessment of Highway Tunnel Construction Considering Soil Erosion Based on T-S Fuzzy Neural Network
Lecture Notes in Civil Engineering
Meng, Lingyun (Herausgeber:in) / Qian, Yongsheng (Herausgeber:in) / Bai, Yun (Herausgeber:in) / Lv, Bin (Herausgeber:in) / Tang, Yuanjie (Herausgeber:in) / Li, Weixuan (Autor:in) / Yao, Enjian (Autor:in) / Liu, Shasha (Autor:in) / Hou, Yun (Autor:in) / Zhang, Yunling (Autor:in)
International Conference on Traffic and Transportation Studies ; 2024 ; Lanzhou, China
The Proceedings of the 11th International Conference on Traffic and Transportation Studies ; Kapitel: 62 ; 570-578
21.11.2024
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Risk Evaluation Model of Highway Tunnel Portal Construction Based on BP Fuzzy Neural Network
| DOAJ | 2018
Erosion control on highway construction
| UB Braunschweig | 1973
Erosion control on highway construction
| TIBKAT | 1973
Erosion from Suburban Highway Construction
| ASCE | 2021