Study on the Effect of Pore Evolution on the Coal Spontaneous Combustion Characteristics in Goaf

Fire Pub Date : 2024-05-08 DOI:10.3390/fire7050164
Jinglei Li, Hao Xu, Genshui Wu
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Abstract

Understanding the characteristics of coal spontaneous combustion (CSC) in goaf under different porosities is crucial for comprehending the mechanism of CSC and its prevention and control. In this paper, a multi-field coupled model of CSC in the goaf, considering porosity variation, is developed to investigate the effect of porosity on the CSC characteristics in the goaf. The results indicate that, as the goaf depth increases, both porosity and permeability decrease. When the highest goaf porosity is 25%, the average airflow velocity is between 0.00134 and 0.00139 m/s. In contrast, the average airflow velocity in the goaf with a porosity of 40% is approximately six times greater than that of the goaf with a porosity of 25%. As the goaf porosity increases, the overall oxygen concentration, temperature, and oxidized zone area also rise. Moreover, the oxidation zone area can be quantified and visualized, thereby enabling more effective prediction of the CSC risk in the goaf. The findings of the study have a positive significance in guiding the prevention and control of coal fires.
孔隙演化对沼渣煤自燃特性影响的研究
了解不同孔隙度条件下煤炭自燃(CSC)在煤层中的特征对于理解煤炭自燃的机理及其防治至关重要。本文建立了考虑孔隙度变化的煤层自燃多场耦合模型,研究了孔隙度对煤层自燃特性的影响。结果表明,随着羊群深度的增加,孔隙度和渗透率都会降低。当最高羊群孔隙度为 25% 时,平均气流速度介于 0.00134 和 0.00139 米/秒之间。相比之下,孔隙度为 40% 的羊群的平均气流速度大约是孔隙度为 25% 的羊群的六倍。随着煤层孔隙率的增加,整体氧气浓度、温度和氧化区面积也随之增加。此外,氧化区面积可以量化和可视化,从而能更有效地预测羊群的 CSC 风险。研究结果对预防和控制煤炭火灾具有积极的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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