Proceedings of the 2026 2nd International Conference on Engineering Management and Safety Engineering (EMSE 2026)

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Risk Assessment of Tunnel Construction Based on Grey Theory Optimization Model

Authors
Linfeng Zhou1, Jia Wang1, Yuchuan Li2, *
1China Railway Eryuan Engineering Group Co., Ltd, Chengdu, 610031, Sichuan, China
2CREEC(Chengdu) Engineering Consulting Co. Ltd., Chengdu, 610031, Sichuan, China
*Corresponding author. Email: 66373685@qq.com
Corresponding Author
Yuchuan Li
Available Online 8 June 2026.
DOI
10.2991/978-94-6239-703-3_8How to use a DOI?
Keywords
Risk assessment; AHP and gray evaluation method; Risk of Railway tunnel; Construction duration; Banzhulin tunnel
Abstract

Railway tunnel construction projects are typically carried out under complex geological conditions, involving substantial investment and extended construction periods. Accidents can disrupt normal construction progress while causing significant economic and human losses. Therefore, conducting a comprehensive risk assessment for tunnel construction is crucial for ensuring the timely and successful completion of railway projects. Against this backdrop, the author proposes an improved risk assessment indicator system. Utilizing an optimized AHP gray comprehensive theory model, this study conducts a comprehensive risk assessment for the construction of the Banzhulin Tunnel. The final comprehensive risk score is 2.7721, indicating a moderate risk level. Among the risks assessed, gas, natural gas, and harmful gases are classified as high risk, while cave-ins and sudden water/mud inflows are near high risk. The study demonstrates that the optimized indicator system and model enable a more comprehensive and scientific assessment of railway tunnel construction risks, providing valuable reference for risk control in railway tunnel construction.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 2nd International Conference on Engineering Management and Safety Engineering (EMSE 2026)
Series
Advances in Engineering Research
Publication Date
8 June 2026
ISBN
978-94-6239-703-3
ISSN
2352-5401
DOI
10.2991/978-94-6239-703-3_8How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Linfeng Zhou
AU  - Jia Wang
AU  - Yuchuan Li
PY  - 2026
DA  - 2026/06/08
TI  - Risk Assessment of Tunnel Construction Based on Grey Theory Optimization Model
BT  - Proceedings of the 2026 2nd International Conference on Engineering Management and Safety Engineering (EMSE 2026)
PB  - Atlantis Press
SP  - 75
EP  - 90
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-703-3_8
DO  - 10.2991/978-94-6239-703-3_8
ID  - Zhou2026
ER  -