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Prediction of coal mine goaf self-heating with fluid dynamics in porous media

机译:多孔介质中流体动力学预测采空区自热

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Coal mine goaf self-heating due to exothermic coal oxidation has been recognized as a major threat to coal mine safety. To evaluate the risk of the coal mine goaf self-heating hazard, both gas distribution characteristics in goaf and heat transfer mechanisms in porous media must be studied. However, due to the difficulty of determining goaf permeability and the complexity of the overlaying strata caving characteristics, it is a considerable challenge to determine the thermal-fluid field coupling. Based on the volumetric average method in porous media, this work develops three numerical models for solving fluid dynamics and heat transfer in both longwall face and goaf. The Brinkman-Forchheimer-extended Darcy model is introduced to describe inertia and frictional forces in fluid phase exerted by solid phase. Temperature profile is highly dependent on and affects coal oxidation rate; therefore, governing equations for energy and oxygen mass equilibrium must be coupled. A twodimensional goaf permeability distribution model is established based on different caving conditions in goafs. Three scenarios are simulated and validated by field and experimental data, and it is observed that these models are capable of predicting gas flow pattern and temperature distribution.
机译:由于放热的煤氧化而导致的采空区自热已被认为是对煤矿安全的主要威胁。为了评估煤矿采空区自热危险的风险,必须研究采空区中的气体分布特征和多孔介质中的传热机理。然而,由于确定采空区渗透率的困难和上覆地层崩落特征的复杂性,确定热流体场耦合是一个相当大的挑战。基于多孔介质中的体积平均法,这项工作开发了三个数值模型,用于解决长壁工作面和采空区中的流体动力学和传热问题。引入了Brinkman-Forchheimer扩展的Darcy模型来描述固相在液相中的惯性和摩擦力。温度曲线高度依赖并影响煤的氧化速率;因此,必须耦合能量和氧气质量平衡的控制方程。根据采空区不同崩落条件,建立了二维采空区渗透率分布模型。通过现场和实验数据对三种情况进行了仿真和验证,发现这些模型能够预测气体流动模式和温度分布。

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