Gao Qiangqiang, Ma Liqiang, Liu Wei, Khan Naseer Muhammad, S Alarifi Saad, Sazid Mohammed, Inqiad Waleed Bin
School of Mines, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China.
Key Laboratory of Xinjiang Coal Resources Green Mining (Xinjiang Institute of Engineering), Ministry of Education, Urumqi, 830023, China.
Heliyon. 2024 May 6;10(10):e30660. doi: 10.1016/j.heliyon.2024.e30660. eCollection 2024 May 30.
Understanding the precursors leading to rock fracture is crucial for ensuring safety in mining and geotechnical engineering projects. To effectively discern these precursors, a collaborative monitoring approach that integrates multiple sources of information is imperative. This paper considered a rock multi-parameter monitoring loading system, incorporating infrared radiation and acoustic emission monitoring technologies to simultaneously track the rock fracture process. The study delves into the spatiotemporal evolution patterns of infrared radiation and acoustic emission in rock under loading. Utilizing stress, cumulative acoustic emission count, and average infrared radiation temperature (AIRT), the paper establishes a comprehensive evaluation model termed "acoustic-thermal-stress" fusion information, employing principal component analysis (PCA). The research reveals that the sensitivity to rock sample damage response follows the sequence of cumulative acoustic emission count, AIRT, and stress. Furthermore, a novel method for identifying rock fracture precursors is proposed, based on the first derivative of the comprehensive evaluation model. This method addresses the limitations of single physical field information, enhancing the robustness of monitoring data. It determines the average stress level of fracture precursors to be 0.77σ. Subsequently, the study defines the probability function of rock damage during loading and fracture, enabling the realization of probability-based warnings for rock fracture. This approach introduces a new perspective on rock fracture prediction, significantly contributing to safety monitoring and warning systems in mine safety and geotechnical engineering. The findings of this research hold paramount engineering significance, offering valuable insights for enhancing safety measures in such projects.
了解导致岩石破裂的前兆对于确保采矿和岩土工程项目的安全至关重要。为了有效识别这些前兆，采用整合多种信息源的协同监测方法势在必行。本文考虑了一种岩石多参数监测加载系统，该系统结合了红外辐射和声发射监测技术，以同时跟踪岩石的破裂过程。研究深入探讨了加载过程中岩石内部红外辐射和声发射的时空演化模式。利用应力、累积声发射计数和平均红外辐射温度（AIRT），本文采用主成分分析（PCA）建立了一个名为“声-热-应力”融合信息的综合评价模型。研究表明，对岩石样本损伤响应的敏感度顺序为累积声发射计数、AIRT和应力。此外，基于综合评价模型的一阶导数，提出了一种识别岩石破裂前兆的新方法。该方法克服了单一物理场信息的局限性，增强了监测数据的稳健性。它确定破裂前兆的平均应力水平为0.77σ。随后，该研究定义了加载和破裂过程中岩石损伤的概率函数，从而实现了基于概率的岩石破裂预警。这种方法为岩石破裂预测引入了新的视角，对矿山安全和岩土工程中的安全监测与预警系统有显著贡献。本研究的结果具有至关重要的工程意义，为加强此类项目的安全措施提供了有价值的见解。
