LI Haitao，QI Qingxin，DU Weisheng，et al. Digital rock mechanics solutions for underground engineering problems such as coal mining[J]. Coal Science and Technology，2024，52（9）：150−161
. DOI: 10.12438/cst.2024-0852| Citation: |
LI Haitao，QI Qingxin，DU Weisheng，et al. Digital rock mechanics solutions for underground engineering problems such as coal mining[J]. Coal Science and Technology，2024，52（9）：150−161 . DOI: 10.12438/cst.2024-0852
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LI Haitao: 李海涛，男，山东菏泽人，研究员，博士生导师。中国煤炭科工集团三级首席科学家，煤炭科学研究总院有限公司深地科学院院长助理、学术带头人。2018 年入选中国科协第四届“青年人才托举工程”，2021 年被聘为山西省煤炭学会千人智库技能专家，同年获第三十届孙越崎青年科技奖。研究方向：煤矿冲击地压防控，深地工程安全的数字化解决方案。主要成果：主持或参与完成国家及行业科技攻关项目20 余项，其中，负责国家科技支撑计划项目2 项。发表学术论文32 篇（其中SCI/EI 收录24 篇），参与出版专著1 部。申请/授权发明专利50 余项。牵头/参与起草国家标准2项，行业标准2项，团体标准3项。作为第一/主要完成人获省部级奖励9 项
The observability of underground engineering, such as coal mining, is extremely limited, which makes it difficult to obtain reliable pre-analysis basis for many complex engineering problems. Especially in face of new engineering environment brought about by deep conditions and high-intensity mining, the applicability of the existing theoretical system and technical solutions is facing severe challenges. Based on the technical characteristics of the digital era, a digital rock mechanics solution that integrates data laws, mechanical logic and engineering experience is proposed. The solution makes full use of the objective characteristics of real engineering laws contained in engineering data, and gives a specific mode of underlying integration among theoretical achievements, engineering experience and data law mining. Through the non-damaged inference of mechanical parameters of coal specimens, the feasibility of the above technical path is verified, and the data mining and utilization with both reliability and interpretability are realized. Furthermore, a digital rock mechanics theoretical system with rock physical properties, geological structure and spatial stress as the basic elements is established, and a general operation mode of digital rock mechanics underground engineering with the steps of “engineering sketch, physical knowledge embedding, professional knowledge integration, decision generation” is proposed. The reliability of the digital rock mechanics solution is verified by the application in complex engineering, which provides a practical implementation path for the digital transformation and intelligent upgrading of underground engineering such as coal mining.
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