Safety evaluation of underground engineering crossing highways based on extension matter-element model
To address the lack of unified standards, complex influencing factors, and significant hazards in safety evaluations of underground engineering crossing highways, this study adopting the extension matter-element model for quantitative safety evaluation. First, safety influencing factors across the design, construction, and operation phases were systematically identified for three typical engineering types: pipeline underpasses, tunnel underpasses, and highway underpasses, and a comprehensive evaluation indicator system was established. Then, subjective and objective weights were assigned using the order relation analysis method and the cross-entropy entropy weight method, respectively, and integrated through a distance function. Finally, the safety level of the projects was determined using the extension matter-element model. A case study of a tunnel underpass project in Guangzhou was conducted. The results show a comprehensive correlation degree of 0.13, corresponding to a grade II safety level. Comparison with the fuzzy comprehensive evaluation method validated the consistency of the extension matter-element model results and its applicability to underground engineering crossing highways. The adoption of this method facilitates a comprehensive understanding of project safety status, precise identification of high-risk factors, and provides a scientific basis for safety decision-making and management.
Authors
- Wei Xu (ORCID: https://orcid.org/0000-0002-6649-0597)
- Cheng Xu (ORCID: https://orcid.org/0000-0002-0710-1061)
- Yonghong Yang
- Yixi Hu (ORCID: https://orcid.org/0000-0002-8145-9811)
- Zhen Wang (ORCID: https://orcid.org/0000-0003-3694-5455)
Institutions
- South China University of Technology (CN)
Publication Details
- Journal
- Proceedings of the Institution of Civil Engineers - Municipal Engineer
- Published
- 2025-09-05
- DOI
- https://doi.org/10.1680/jmuen.25.00057
- Primary Topic
- Evaluation and Optimization Models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Basic and Applied Basic Research Foundation of Guangdong Province