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- Title
Stability Analysis and Safety Factors of the Excavation Face of a Pipe Screen Tunnel in a Soft Soil Area.
- Authors
Pan, Weiqiang; Wang, Zihe; Diao, Yu; Zheng, Gang; Zhou, Haizuo; Zhang, Tianqi
- Abstract
With the rapid development of urban rail transit and underground space construction, the advantages of the concealed excavation method are gradually highlighted in the urban center area affected by a complex engineering environment. At present, the pipe curtain method with a flexible section and wide application of the soil layer is being widely used in engineering, but the research on the stability of the excavation face during the construction of the pipe curtain method in soft soil areas still has not formed a complete system. Therefore, this paper analyzes the stability of the excavation face under different reinforcement conditions and the influence of different spacing, numbers, and strength of MJS (metro jet system) zones on the stability of the excavation face of the pipe curtain method based on the actual project of the Guiqiao Road Station of the Shanghai Metro, China, and gives a reference for the reinforcement of the palm face in the excavation process of the pipe curtain method in soft soil areas. The study shows that the safety coefficient of the excavation face decreases with the increase in the slope angle of the excavation face, with the increase in spacing of the MJS zone, and with the increase in height of the MJS zone arrangement, while the safety coefficient of the excavation face increases with the increase in strength of the MJS zones themselves and the increase in the strength of the soil between the MJS zones. Further, the machine learning model is applied to predict the stability of the excavation face under different cases, and the relevant fitting accuracy is above 0.9, which can predict the stability of the excavation better.
- Subjects
SHANGHAI (China); CHINA; MACHINE learning; SAFETY factor in engineering; FACTOR analysis; EXCAVATION; UNDERGROUND areas
- Publication
Applied Sciences (2076-3417), 2023, Vol 13, Issue 20, p11120
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app132011120