Artificial intelligence numerical analysis of extended area of foundation pit of metro station
Authors: 
Hao Shang, Deqiang Wang, Henghua Zhu, Hu Li, Gang Li, Chao JiaAuthors Info & Claims
Hao Shang, Deqiang Wang, Henghua Zhu, Hu Li, Gang Li, Chao JiaAuthors Info & ClaimsPages 693 - 697
Abstract
The deformation of the foundation pit of the subway station must be strictly controlled during the construction process, and the sudden change of the shape of the foundation pit will affect the stability of the diaphragm wall. In this paper, the deformation of foundation pit of Shanshi East Road subway station is analyzed intelligently, and the artificial intelligence three-dimensional finite element model of the shape mutation of foundation pit of different sizes is established. The results show that the length of the short diaphragm wall will affect the deformation of the adjacent diaphragm wall. When the short diaphragm wall is too short, the deformation of the adjacent longer wall will affect the shorter wall, and a reflex point will be formed in the shorter wall. The research results of this paper can provide useful reference for the intelligent analysis, calculation and construction design of similar underground engineering foundation pit.
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Index Terms
- Artificial intelligence numerical analysis of extended area of foundation pit of metro station
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Published In
June 2024
1206 pages
ISBN:9798400710247
DOI:10.1145/3690407
Copyright © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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Association for Computing Machinery
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Published: 24 October 2024
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CAIBDA 2024
CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
June 21 - 23, 2024
Zhengzhou, China
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