智能科学与技术学报2025，Vol.7Issue(4)：412-432,21.DOI:10.11959/j.issn.2096-6652.202540
人工智能在基坑工程中的应用综述
A review of the application of artificial intelligence in deep excavation engineering
摘要
Abstract
The integration of artificial intelligence(AI)with deep excavation engineering represents a key path for the in-telligent development of underground space.This paper provides a state-of-the-art review of the research status and devel-opment trends of AI applications in the full lifecycle of deep excavation engineering.First,based on the key stages of deep excavation,the applications of traditional AI algorithms,deep learning methods,and generative AI models are briefly summarized.Subsequently,it systematically summarizes and compares the fundamental principles,applicability,and limitations of AI in deep excavation engineering from three perspectives:intelligent geological investigation,intelli-gent design,and intelligent monitoring.For intelligent investigation,AI algorithms have enabled high-precision classifica-tion of rock and soil masses and the reconstruction of 3D geological models.For intelligent design,AI methods have en-hanced the efficiency and creativity of design schemes through parameter inversion,optimization,and generation.Further-more,AI is closely integrated with deep excavation monitoring,enabling single-point time-series prediction and multi-point spatiotemporal correlation prediction of deformation,as well as the establishment of a digital twin enhanced by multi-source data fusion.Finally,four directions for the integration of AI and deep excavation engineering are proposed:establishing comprehensive multi-source databases,developing universal intelligent algorithms for deep excavations,con-structing models driven by data-theory-experience fused mechanism,and improving the user ecosystem for AI in deep ex-cavations.关键词
基坑工程/人工智能/智能地勘/智能设计/智能监测Key words
deep excavation/artificial intelligence/intelligent geological survey/intelligent design/intelligent monitoring分类
建筑与水利引用本文复制引用
周润生,徐明,宋二祥..人工智能在基坑工程中的应用综述[J].智能科学与技术学报,2025,7(4):412-432,21.基金项目
国家重点研发计划项目(No.2024YFB2605600) （No.2024YFB2605600）
国家自然科学基金项目(No.42577179) The National Key Research and Development Program of China(No.2024YFB2605600),The National Natural Science Foundation of China(No.42577179) （No.42577179）
