Artificial intelligence technology in rock mechanics and rock engineering
Xia-Ting Feng*, Cheng-Xiang Yang, Ben-Guo He, Zhi-Bin Yao, Lei Hu, Wei Zhang, Rui Kong, Jun Zhao, Zao-Bao Liu, Xin Bi
Deep Resources Engineering. 2024, 1(2): 100008. 
doi.org10.1016j.deepre.2024.100008.pdf
Abstract: The scope and scale of rock engineering activities have witnessed continuous expansion, which makes the geological conditions of rock engineering increasingly complex, and there are more and more types of disasters occurring during the construction and operation processes. The uncertainty of engineering geological information and the unclear nature of rock mass failure and disaster mechanisms pose increasingly prominent challenges to the study of rock mechanics and engineering problems. The artificial intelligence technology develops driven by data and knowledge, especially the proposal of digital-twin technology and metaverse ideas. This has injected new innovative impetus for the development of rock mechanics and engineering intelligence, where data and knowledge have been greatly enriched and updated in recent years. This article proposes the construction idea of a rock mechanics and engineering artificial intelligence system based on the metaverse, including intelligent recognition of three-dimensional (3D) geological structures, intelligent recognition of 3D geostress, intelligent recognition of rock mechanical behavior, intelligent evaluation, monitoring and early warning of rock engineering disaster, intelligent design of rock engineering, and intelligent construction of rock engineering. Two typical engineering applications are used as case studies to illustrate the integrated method of applying this system to solve engineering problems with multiple tasks.
Highlights:
• Clarify inevitable trends and innovative impetus for the development of rock mechanics and rock engineering intelligence.
• Construction idea of a rock mechanics and rock engineering artificial intelligence system in the context of metaverse.
• Definition of the basic elements and their development connotation in the proposed intelligent technology system.
Keywords: Rock mechanics and rock engineering; Artificial intelligence; Metaverse; Data and knowledge-driven; Intelligent construction
Cite: Feng, X.-T.; Yang, C.-X.; He, B.-G.; Yao, Z.-B.; Hu, L.; Zhang, W.; Kong, R.; Zhao, J.; Liu, Z.-B.; Bi, X., Artificial intelligence technology in rock mechanics and rock engineering. Deep Resources Engineering 2024,1 (2): 100008. https://doi.org/10.1016/j.deepre.2024.100008
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