Risk Assessment Method and Application for Tunnel Lining Demolition Construction
Source abstract
Abstract
The maintenance, reconstruction, and expansion of tunnels often require the removal of existing tunnel linings. However, there is a paucity of research on risk assessments during tunnel lining demolitions. In order to address this gap, we developed a risk assessment model for tunnel lining demolitions using a fuzzy hierarchy comprehensive evaluation and expert surveys. This model draws on on-site construction experience. A fuzzy hierarchy comprehensive evaluation assesses risk probability, while expert questionnaires evaluate risk loss. Our study applied this model to a tunnel project in Qinghai, determining that the overall risk level falls within category “V3”, indicating acceptable risk. Nonetheless, ongoing vigilance and monitoring measures are necessary throughout the construction process. These findings contribute to a deeper understanding of tunnel lining demolition risk assessments for improving project management and safety.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geotechnical Engineering and Analysis · Tunneling and Rock Mechanics · Underground infrastructure and sustainability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Bridge and Tunnel Research Center, Research Institute of Highway Ministry of Transport, Beijing 100088, China
School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
Funding
Fundamental Research Funds for the Central Public Interest Scientific Institutes
References (41)
Show source-provided references
1. Song, Z., Yang, Z., Huo, R., and Zhang, Y. (2023). Inversion Analysis Method for Tunnel and Underground Space Engineering: A Short Review. Appl. Sci., 13.10.3390/app13095454 ↗
2. Yum, S.G., Ahn, S., Bae, J., and Kim, J.M. (2020). Assessing the Risk of Natural Disaster-Induced Losses to Tunnel-Construction Projects Using Empirical Financial-Loss Data from South Korea. Sustainability, 12.10.3390/su12198026 ↗
3. Damiani, A., Crippa, E., and Rabbia, M. (2023). Life-Cycle of Structures and Infrastructure Systems, CRC Press. [1st ed.].
4. Investigation on progressive failure process of tunnel lining induced by creep effect of surrounding rock: A case study10.1016/j.engfailanal.2022.106946 ↗
5. Effects of different empirical tunnel design approaches on rock mass behaviour during tunnel widening10.1016/j.heliyon.2019.e02944 ↗
6. Siang, L.Y., Ghazali, F.E.M., Zainun, N.Y., and Ali, R. (2017, January 8–9). General risks for tunnelling projects: An overview. Proceedings of the AIP Conference Proceedings, Penang, Malaysia.10.1063/1.5005730 ↗
7. Zhou, J., Shu, P., Zhang, B., Deng, B., and Wu, Y. (2022). A Finite Element Analysis of Tunnel Lining Demolition by Blasting for Subway Tunnel Expansion. Appl. Sci., 12.10.3390/app12199564 ↗
8. Hua, N., Elhami Khorasani, N., and Tessari, A. (2023). Utilizing Advanced Modelling for Fire Damage Assessment of Reinforced Concrete Tunnel Linings. Struct. Eng. Int.10.1080/10168664.2022.2161440 ↗
9. Exploration on Defect Prevention and Maintenance Methods of Highway Tunnel Structure10.26689/jwa.v7i1.4687 ↗
10. Progress in the technique of upgrading metallic structures with advanced polymer composites10.1002/pse.112 ↗
11. Development and application of model test system for reconstruction and expansion of existing shallow single-hole tunnel into twin-arch tunnel10.1155/2021/6656165 ↗
12. Force and Deformation Characteristics during the Reconstruction and Expansion of Shallow Single-Tube Tunnels into Large-Span Multiarch Tunnels10.1155/2019/2783784 ↗
13. Analysis on the Influence of Dismantling Temporary Lining of Closely-Undercrossing Subway10.1007/s10706-023-02452-2 ↗
14. Habib, K.M., Shnorhokian, S., and Mitri, H. (2022). Evaluating the application of rock breakage without explosives in underground construction—A critical review of chemical demolition agents. Minerals, 12.10.3390/min12020220 ↗
15. Non-traditional assessment and maintenance methods for aging concrete structures–technical and non-technical issues10.1002/maco.201206725 ↗
16. Field investigation of blasting-induced vibration in concrete linings during expansion of old highway tunnel10.1155/2021/8820544 ↗
17. Effect of Blasts on Underground Tunnels-An Over-view
18. Analysis of approaches and principles to the formation of key risk indicators in construction10.1088/1755-1315/751/1/012177 ↗
19. Li, H. (2023, January 9–11). Construction of Risk Indicator System for Overseas Expansion of Chinese Energy Mining Enterprises. Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, Chongqing, China.10.4108/eai.9-12-2022.2327627 ↗
20. Jha, A.K., Miner, T.W., and Stanton-Geddes, Z. (2013). Building Urban Resilience: Principles, Tools, and Practice, The World Bank.10.1596/978-0-8213-8865-5 ↗
21. Khazai, B., Bendimerad, F., Cardona, O.D., Carreño, M.L., Barbat, A.H., and Burton, C.G. (2015). A Guide to Measuring Urban Risk Resilience: Principles, Tools and Practice of Urban Indicators, Earthquakes and Megacities Initiative, Inc.. [1st ed.].
22. Assessment of catastrophic risk using Bayesian network constructed from domain knowledge and spatial data10.1111/j.1539-6924.2010.01429.x ↗
23. BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives10.1016/j.tust.2020.103677 ↗
24. Multi-source information fusion for safety risk assessment in underground tunnels10.1016/j.knosys.2021.107210 ↗
25. Risk assessment of floor water inrush in coal mines based on secondary fuzzy comprehensive evaluation10.1016/j.ijrmms.2012.03.006 ↗
26. Guidelines for tunnelling risk management: Inter-national tunnelling association, working group No. 210.1016/j.tust.2004.01.001 ↗
27. Identifying and assessing the critical risk factors in an underground rail project in Thailand: A factor analysis approach10.1016/j.ijproman.2004.05.004 ↗
28. Bayesian-network-based safety risk analysis in construction projects10.1016/j.ress.2014.06.006 ↗
29. Predicting geological hazards during tunnel construction10.3724/SP.J.1235.2010.00232 ↗
30. Risk analysis for determination of a tunnel support pattern10.1016/j.tust.2005.03.002 ↗
31. Quantitative condition inspection and assessment of tunnel lining10.1016/j.autcon.2019.03.001 ↗
32. Probabilistic models for tunnel construction risk assessment
33. Sarjakoski, L.T. (2007). Cartographic Modelling and Applications International Cartographic Association, Elsevier Ltd.
34. A prediction method of coal burst based on analytic hierarchy process and fuzzy com-prehensive evaluation10.3389/feart.2021.834958 ↗
35. Risk assessment of water inrush in karst tunnels based on two-class fuzzy comprehensive evaluation method10.1007/s12517-017-2957-5 ↗
36. Evaluating construction risks of modified shield machine applicable to soft soils based on fuzzy comprehensive evaluation method10.1155/2020/8861801 ↗
37. Fuzzy comprehensive evaluation model for construction risk analysis in urban sub-way10.1142/S1793962315500245 ↗
38. Decision making—The analytic hierarchy and network processes (AHP/ANP)10.1007/s11518-006-0151-5 ↗
39. Review of application of analytic hierarchy process (AHP) in construction
40. Analytical model for assessing collapse risk during mountain tunnel construction10.1139/cgj-2015-0064 ↗
41. Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels10.1016/j.tust.2015.04.007 ↗