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矿井巷道网络中突水传播的时空建模。

Spatiotemporal modeling of water inrush spreading in mine roadway networks.

机构信息

China University of Mining & Technology, Beijing 100083, China E-mail:

Beijing Institute of Petrochemical Technology, No. 19 Qingyuan Road, Daxing District, Beijing 102617, China.

出版信息

Water Sci Technol. 2022 Feb;85(3):872-886. doi: 10.2166/wst.2022.009.

Abstract

Water inrush accidents seriously threaten underground mining production, so the accurate prediction of the spreading process of water inrush is essential for the formulation of water-inrush-control plans and rescue schemes. This paper proposes a spatiotemporal model based on pipe-flow theory to simulate the spreading process of water inrush in mine roadway networks. The energy-loss term is added to this model to improve the simulation accuracy in bifurcated roadways, and pumps and water-blocking equipment are considered in controlling the spreading process of water inrush. Through experimental case studies, the simulation results and the function of the energy-loss term are verified. A sensitivity analysis is then carried out to assess the impact of the model parameters. The results show that the model outputs are most sensitive to the roadway length, cross-section width, and energy-loss coefficient. The model exhibited maximal sensitivity to the geometric parameters compared with the hydraulic parameters. Furthermore, the spreading process of a real water inrush in a coal mine in North China is simulated, and the water-inrush-control measures are evaluated. The overall results indicate that the proposed spatiotemporal model accurately predicts the spreading process of water inrush and is thus applicable to large-scale mine roadway networks.

摘要

涌水事故严重威胁着地下采矿生产,因此准确预测涌水的传播过程对于制定涌水控制计划和救援方案至关重要。本文提出了一种基于管流理论的时空模型来模拟矿井巷道网络中涌水的传播过程。在该模型中添加了能量损失项,以提高在分叉巷道中的模拟精度,并考虑了泵和挡水设备来控制涌水的传播过程。通过实验案例研究,验证了模拟结果和能量损失项的功能。然后进行了敏感性分析,以评估模型参数的影响。结果表明,模型输出对巷道长度、横截面宽度和能量损失系数最为敏感。与水力参数相比,该模型对几何参数的敏感性最大。此外,模拟了华北某煤矿真实涌水的传播过程,并对涌水控制措施进行了评估。总体结果表明,所提出的时空模型能够准确预测涌水的传播过程,因此适用于大规模的矿井巷道网络。

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