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Academic Journal of Engineering and Technology Science, 2024, 7(2); doi: 10.25236/AJETS.2024.070214.

Safety Risk Assessment of Deep Foundation Pit Excavation Adjacent to Existing Railway Stations

Author(s)

Zhao Zhihao1, Wang Haitao1, Wang Meng1, Zhang Zhiwei2

Corresponding Author:
Zhao Zhihao
Affiliation(s)

1School of Civil Engineering, Dalian Jiaotong University, Liaoning, Dalian, 116028, China

2China Railway No.14 Group Corporation Tunnel Engineering Co. Ltd, Jinan, Shandong, 250002, China

Abstract

The construction of three-dimensional underground transportation systems has made the expansion of existing lines increasingly common. However, there has been limited practical engineering research on new stations closely adjoining existing ones. Such projects are characterized by their uniqueness, complexity, and high risk. Establishing a risk assessment system for construction close to existing structures can aid in risk control for similar projects. This paper, based on the actual project at Wudaokou Station on Beijing Metro Line 13, evaluates the risks during the excavation stage of a foundation pit close to existing structures. It thoroughly analyzes the factors affecting the safety of foundation pit excavation construction adjacent to existing structures. Based on this analysis, a risk assessment system for foundation pit excavation construction close to existing structures is established. The Analytic Hierarchy Process (AHP) is used to determine the weights of the risk factors at different levels. Furthermore, based on fuzzy mathematics theory, a risk assessment model for foundation pit excavation construction close to existing structures is constructed. The model calculates and scores each factor, concluding that the accident possibility level for foundation pit excavation construction close to existing structures is Level 3, indicating a high-risk project. The assessment results are reliable, consistent with practical engineering, and can serve as a reference for similar projects.

Keywords

Deep foundation pit excavation, risk assessment, Analytic Hierarchy Process (AHP), Fuzzy comprehensive evaluation method

Cite This Paper

Zhao Zhihao, Wang Haitao, Wang Meng, Zhang Zhiwei. Safety Risk Assessment of Deep Foundation Pit Excavation Adjacent to Existing Railway Stations. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 2: 88-95. https://doi.org/10.25236/AJETS.2024.070214.

References

[1] HONG Kairong. State-of-art and Prospect of Tunnels and Underground Works in China[J]. Tunnel Construction, 2015, 35(2): 95-107.

[2] HONG Kairong. Development and Prospects of Tunnels and Underground Works in China in Recent Two Years[J]. Tunnel Construction, 2017, 37(2): 123-134.

[3] YOU Xinhua, HE Guangyao, WANG Qiangxun, et al. Current Status and Development Trend of Urban Underground Space in China[J]. Tunnel Construction, 2019, 39(2): 173-188.

[4] MENG Lingzhi. Study on settlement control system of the large section tunnel with closely adjacent down-traversing the existing tunnel[J]. Building Structure, 2018, 48(S1): 772-777.

[5] WANG Jianchen, LIU Yunliang, ZHANG Dingli, et al. Study of Deformation Control and Deformation Law of Existing Tunnel with Parallel Running Underneath Subway Station[J]. Journal of the China Railway Society 2017, 39(11): 131-137.

[6] YU Jun. Study on Construction Scheme Optimization of Shallow-buried Tunnel undercrossing Existing Metro Station with Zero-clearance[J]. Tunnel Construction, 2013, 33(1): 22-26.

[7] WANG Gang, LI Junsong, ZHANG Xinggang. Study on Safety Risk Management of Metro Tunnel with Hidden-digging Method Under-passing Existing Railway Station[J]. Railway Standard Design, 2014(9): 93-98.

[8] CHANG S, MOON S. A case study on instrumentation of a large tunnel crossing under the existing subway structure[C]. Proceedings of the KGS 2000 Spring Conference, 2000. 56-59.

[9] Li Shuguang, Ren Shaoqiang, Wang Hongkun, et al. Deformation Law and Safety Risk Assessment of Deep Foundation Pit Construction of Subway Station[J]. Highway, 2022, 67(01): 355-362.