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李海涛,齐庆新,杜伟升,等. 煤炭开采等地下工程问题的数字岩石力学解决方案[J]. 煤炭科学技术,2024,52(9):149−160. DOI: 10.12438/cst.2024-0852
引用本文: 李海涛,齐庆新,杜伟升,等. 煤炭开采等地下工程问题的数字岩石力学解决方案[J]. 煤炭科学技术,2024,52(9):149−160. DOI: 10.12438/cst.2024-0852
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):149−160. 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):149−160. DOI: 10.12438/cst.2024-0852

煤炭开采等地下工程问题的数字岩石力学解决方案

Digital rock mechanics solutions for underground engineering problems such as coal mining

  • 摘要: 煤炭开采等地下工程的可观测性极为有限,导致很多复杂的工程问题难以获得可靠的事前分析依据,尤其在面临深部作业和高强度开采所带来的全新工程环境时,现有理论体系和技术方案的适用性面临着严峻的挑战。基于数字化时代的技术发展特点,提出了融合数据规律、力学逻辑和工程经验的数字岩石力学解决方案;充分利用工程数据中包含着真实工程规律的客观特点,建立了理论成果、工程经验与数据规律挖掘进行底层融合的具体模式;借助煤岩物理力学参数无损推断场景,验证了上述技术路径的可行性,实现了兼具可靠性和可解释性的数据挖掘利用。进一步构建了以煤岩物性、矿井结构和空间应力为基本要素的数字岩石力学理论体系,提出了以“工程素描—物理嵌入—业务融合—决策生成”为步骤的数字岩石力学地下工程通用作业模式,并通过在复杂工程现场的应用检验了数字岩石力学解决方案的可靠性,为煤炭开采等地下工程的数字化转型、智能化升级提供了切实可行的实现路径。

     

    Abstract: 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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