Dynamic risk evaluation method for collapse disasters of drill-and-blast tunnels: a case study
Autor: | Huang Jingsong, Weixing Qiu, Guowang Meng, Wei Huang, Bo Wu, Shixiang Xu |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
China
Computer science exposure degree Risk Assessment Disasters Condensed Matter::Superconductivity bayesian network Forensic engineering medicine QA1-939 Collapse (medical) Probability Drill cloud model Applied Mathematics Bayes Theorem General Medicine Condensed Matter::Mesoscopic Systems and Quantum Hall Effect Risk evaluation dynamic risk assessment Computational Mathematics Modeling and Simulation membership function medicine.symptom General Agricultural and Biological Sciences TP248.13-248.65 Mathematics Biotechnology |
Zdroj: | Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 309-330 (2022) |
ISSN: | 1551-0018 |
DOI: | 10.3934/mbe.2022016?viewType=HTML |
Popis: | The tunnel collapse is one of the most frequent and harmful geological hazards during the construction of highway rock tunnels. As for reducing the occurrence probability of tunnel collapse, a new dynamic risk assessment methodology for the tunnel collapse was established, which combines the Cloud model (CM), the Membership function, and the Bayesian network (BN). During the preparation phase, tunnel collapse risk factors are identified and an index system is constructed. Then, the proposed novel assessment method is used to evaluate the probability of tunnel collapse risk for on-site construction. The probability of tunnel collapse risk in the dynamic process of construction can provide real-time guidance for tunnel construction. Moreover, a typical case study of the Yutangxi tunnel is performed, which belongs to the Pu-Yan Highway Project (Fujian, China). The results show that the dynamic evaluation model is well validated and applied. The risk value of tunnel collapse in a construction cycle is predicted successfully, and on-site construction is guided to reduce the occurrence of tunnel collapse. Besides, it also proves the feasibility of the dynamic evaluation method and its application potential. |
Databáze: | OpenAIRE |
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