Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)

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Application of Artificial Intelligence in the Construction of Extra-Long Large Pipe Sheds in Shallow-Buried Tunnels

Authors
Huijun Zhang1, Junyang Chen2, *
1Mengji Railway Co., Ltd., Hohhot, China
2China Railway No.4 Engineering Group Co., Ltd., Hefei, China
*Corresponding author. Email: 516976970@qq.com
Corresponding Author
Junyang Chen
Available Online 3 March 2025.
DOI
10.2991/978-94-6463-658-1_17How to use a DOI?
Keywords
Artificial Intelligence; Shallow-Buried Tunnel; Extra-Long Large Pipe Shed; Construction Optimization; Risk Prediction
Abstract

In the construction process of shallow-buried tunnels, the technology of extra-long large pipe sheds is widely used due to its ability to effectively stabilize the excavation face. However, the implementation of this technology faces numerous challenges due to complex geological conditions, intricate construction procedures, and environmental constraints. The rapid development of artificial intelligence (AI) has provided new ideas and solutions for optimizing the construction of extra-long large pipe sheds. This paper reviews the main application scenarios of AI in the construction of extra-long large pipe sheds in shallow-buried tunnels, exploring its potential applications in construction parameter optimization, construction risk prediction, and quality control. Based on practical engineering cases, the paper analyzes the actual effects of AI technology in improving construction efficiency, reducing risks, and saving costs.

Copyright
© 2025 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 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
Series
Advances in Engineering Research
Publication Date
3 March 2025
ISBN
978-94-6463-658-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-658-1_17How to use a DOI?
Copyright
© 2025 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  - Huijun Zhang
AU  - Junyang Chen
PY  - 2025
DA  - 2025/03/03
TI  - Application of Artificial Intelligence in the Construction of Extra-Long Large Pipe Sheds in Shallow-Buried Tunnels
BT  - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
PB  - Atlantis Press
SP  - 172
EP  - 178
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-658-1_17
DO  - 10.2991/978-94-6463-658-1_17
ID  - Zhang2025
ER  -