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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety evaluation of underground engineering crossing highways based on extension matter-element model

Wei Xu, Cheng Xu, Yonghong Yang, Yixi Hu et al.
Proceedings of the Institution of Civil Engineers - Municipal Engineer
Evaluation and Optimization Models
article

Safety evaluation of underground engineering crossing highways based on extension matter-element model

Wei Xu, Cheng Xu, Yonghong Yang, Yixi Hu, Zhen Wang
article en

Abstract

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.

Proceedings of the Institution of Civil Engineers - Municipal EngineerVol. 178(4)
South China University of Technology (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 71%
Evaluation and Optimization Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.