Application of Artificial Intelligence in Rock Tunnel Engineering: A Survey on Where and How

ABSTRACT Rock tunnel engineering (RTE) plays a crucial role in modern infrastructure development. The development of artificial intelligence (AI) is able to drive transformative advances in RTE. This review provides an in‐depth analysis of the AI application in RTE. Through a comprehensive examination of existing literature, we explore how AI technologies have revolutionised various aspects of RTE, including construction methodology, rock parameter estimation, hazard disaster management during construction, and tunnel operation. In addition, we provide an in‐depth study of the synergies between various AI algorithms and related open datasets. This work also outlines promising future research directions for the AI application in RTE, aiming to inspire further advancements in this emerging field. In conclusion, this review underscores the positive influence of AI on RTE, emphasising its capacity to elevate efficiency, accuracy, and safety standards throughout various phases of tunnel projects. The convergence of AI with RTE holds immense promise for advancing the field and ensuring the success and sustainability of future tunnel infrastructure endeavours.

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Publication Details

Journal
Expert Systems
Published
2025-05-23
DOI
https://doi.org/10.1111/exsy.70080
Primary Topic
Tunneling and Rock Mechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of Artificial Intelligence in Rock Tunnel Engineering: A Survey on Where and How

Yicong Zhou, David Camacho, Ben‐Guo He, Junxin Chen et al.
Expert Systems
Tunneling and Rock Mechanics
article

Application of Artificial Intelligence in Rock Tunnel Engineering: A Survey on Where and How

Yicong Zhou, David Camacho, Ben‐Guo He, Junxin Chen, Xiaojie Yu, Xu Xu, Miguel Ángel Díaz
article en

Abstract

ABSTRACT Rock tunnel engineering (RTE) plays a crucial role in modern infrastructure development. The development of artificial intelligence (AI) is able to drive transformative advances in RTE. This review provides an in‐depth analysis of the AI application in RTE. Through a comprehensive examination of existing literature, we explore how AI technologies have revolutionised various aspects of RTE, including construction methodology, rock parameter estimation, hazard disaster management during construction, and tunnel operation. In addition, we provide an in‐depth study of the synergies between various AI algorithms and related open datasets. This work also outlines promising future research directions for the AI application in RTE, aiming to inspire further advancements in this emerging field. In conclusion, this review underscores the positive influence of AI on RTE, emphasising its capacity to elevate efficiency, accuracy, and safety standards throughout various phases of tunnel projects. The convergence of AI with RTE holds immense promise for advancing the field and ensuring the success and sustainability of future tunnel infrastructure endeavours.

Expert SystemsVol. 42(7)
Ministry of Education of the People's Republic of China (CN), University of Macau (MO), Dalian University of Technology (CN), Universidad Politécnica de Madrid (ES), Northeastern University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Tunneling and Rock Mechanics
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Application of Artificial Intelligence in Rock Tunnel Engineering: A Survey on Where and How — Yicong Zhou, David Camacho, et al. · Expert Systems (2025) | TGRS Research Map | TGRS