Intelligent Development in Tunnel Engineering: Current Trends, Technologies, and Future Directions

Authors

  • Peng Guo

DOI:

https://doi.org/10.54097/95tmqg44

Keywords:

Intelligent Tunnel Construction, Automation, IoT, BIM, Artificial Intelligence, Tunneling Machines.

Abstract

The development of intelligent technologies in tunnel engineering has become a key factor in enhancing construction efficiency, safety, and sustainability. With advancements in automation, data analytics, and artificial intelligence (AI), tunnel construction is evolving towards greater precision and automation. This paper presents an overview of the key technologies driving the smart tunnel constructionindustry, including Internet of Things (IoT), Building Information Modeling (BIM), automated tunneling machines, and machine learning. Additionally, the paper discusses the current challenges and future trends in the field of tunnel automation, proposing solutions for the integration of intelligent systems in tunnel construction.

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References

[1] Zhang, Y., & Li, S. (2020). Development and Application of IoT in Tunnel Engineering. Automation in Construction, 95, 235-247.

[2] Wang, X., & Liu, F. (2019). Building Information Modeling (BIM) in Tunnel Projects: A Review of Applications and Challenges. Journal of Civil Engineering, 34(8), 674-689.

[3] Zhang, M., & Xu, Z. (2021). Artificial Intelligence and Machine Learning in Tunnel Engineering: A Future Perspective. Tunneling and Underground Space Technology, 118, 142-153.

[4] Sun, H., & Li, L. (2020). Predictive Maintenance for Tunnel Construction: An Application of AI Technology. Journal of Construction and Building Materials, 238, 118041.

[5] Xu, X., Liu, Z., & Zhang, H. (2020). Intelligent Predictive Maintenance for Tunnel Boring Machines. Journal of Automation in Construction, 115, 1032-1041.

[6] Li, S., Liu, Y., & Zhang, J. (2019). BIM Integration in Tunnel Projects for Enhanced Collaboration and Design Optimization. Tunneling and Underground Space Technology, 94, 1038-1046.

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Published

12-02-2025

Issue

Section

Articles

How to Cite

Guo, P. (2025). Intelligent Development in Tunnel Engineering: Current Trends, Technologies, and Future Directions. Academic Journal of Science and Technology, 14(1), 355-357. https://doi.org/10.54097/95tmqg44