Yuan Qiang, Chai Jing, Zhang Yuzhu, Liu Yongliang, Ren Yiwei
State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China.
College of Energy Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Sensors (Basel). 2021 Sep 6;21(17):5985. doi: 10.3390/s21175985.
Mining activities under the circumstances of huge-thick stratum occurrence commonly result in dynamic response of the working face. It is crucial to understand the rock failure and movement of the huge-thick stratum in order to prevent dynamic hazards. This paper introduces distributed optical fiber sensor (DOFS) monitoring into a large-scale model test to investigate the deformation pattern and movement law of the huge-thick conglomerate (HTC); the monitoring results are verified by numerical simulation. The results indicate that DOFS monitoring captures the spatiotemporal evolution of zoning development in the overburden deformation. The deformation field of HTC is illustrated, and there exists a strain basin that can be used to estimate the movement law of HTC. The average strain variability , a new homogenization index for characterizing the overburden deformation, is proposed to describe the broken rules of the HTC. The numerical simulation proves the feasibility of the DOFS monitoring method and the correctness of the deformation pattern and movement law. This study provides efficient methods for DOFS monitoring utilization to investigate mining engineering problems and could be beneficial for unearthing the mechanisms of deep ground rock deformation.
巨厚地层赋存条件下的采矿活动通常会导致工作面的动力响应。为了预防动力灾害，了解巨厚地层的岩石破坏和移动情况至关重要。本文将分布式光纤传感器（DOFS）监测引入大型模型试验，以研究巨厚砾岩（HTC）的变形模式和移动规律；监测结果通过数值模拟进行验证。结果表明，DOFS监测捕捉到了覆岩变形分区发展的时空演化。绘制了HTC的变形场，存在一个应变盆地，可用于估计HTC的移动规律。提出了平均应变变异性，一种用于表征覆岩变形的新的均匀化指标，以描述HTC的破碎规律。数值模拟证明了DOFS监测方法的可行性以及变形模式和移动规律的正确性。本研究为利用DOFS监测研究采矿工程问题提供了有效的方法，有助于揭示深部地层岩石变形的机制。
