Artificial intelligence technology in rock mechanics and rock engineering
Xia‐Ting Feng, Cheng-Xiang Yang, Ben‐Guo He, Zhibin Yao, Lei Hu, Zhang We, Rui Kong, Jun Zhao, Zaobao Liu, Xin Bi
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.