王少锋, 李夕兵, 王德明, 曹凯. 地下煤火燃空区冒落岩体孔隙率随机分布规律[J]. 工程科学学报, 2015, 37(5): 543-550. DOI: 10.13374/j.issn2095-9389.2015.05.001
引用本文: 王少锋, 李夕兵, 王德明, 曹凯. 地下煤火燃空区冒落岩体孔隙率随机分布规律[J]. 工程科学学报, 2015, 37(5): 543-550. DOI: 10.13374/j.issn2095-9389.2015.05.001
WANG Shao-feng, LI Xi-bing, WANG De-ming, CAO Kai. Random distribution of porosity in the combustion space area of underground coal fire[J]. Chinese Journal of Engineering, 2015, 37(5): 543-550. DOI: 10.13374/j.issn2095-9389.2015.05.001
Citation: WANG Shao-feng, LI Xi-bing, WANG De-ming, CAO Kai. Random distribution of porosity in the combustion space area of underground coal fire[J]. Chinese Journal of Engineering, 2015, 37(5): 543-550. DOI: 10.13374/j.issn2095-9389.2015.05.001

地下煤火燃空区冒落岩体孔隙率随机分布规律

Random distribution of porosity in the combustion space area of underground coal fire

  • 摘要: 本文经随机实验统计分析得出孔隙率函数(3lnφ-2ln(1-φ))近似服从正态分布,在实验的粒径范围内(30~180 mm),其期望值和方差都随着岩块粒径的增大而增大.在推导出岩层二维下沉曲面方程的基础上,先后推演出燃空区冒落岩体孔隙率的连续非均质分布模型和随机离散化非均质分布模型.依据模型计算矩形煤火空间得出以下结果:燃空区浅部及边缘侧冒落岩体的孔隙率大,而中间区域孔隙率小;孔隙率等值线在x-y平面上的投影呈侧躺的"U"形分布;沿x轴,随着深入燃空区距离的增加,孔隙率呈类负指数形式衰减.此外,孔隙率连续分布和随机离散化分布,在整体的变化趋势上是相同的,区别之处在于后者所表示的孔隙率具有一定的随机波动性.将上述随机离散化模型应用在某火区温度场的数值模拟中,并经现场红外测温验证了模拟的准确性和孔隙率模型的适用性.

     

    Abstract: Through statistical analysis of random experiments, there is a function of porosity 3lnφ-2ln(1-φ) that approximately follows a normal distribution. In the test particle size range of 30 to 180 ram, the expectation and variance of this function value increase with an increase in grain size of rock blocks. On the basis of deriving the subsidence hypersurface equation of a basic roof, a continuous inhomogeneous distribution model and a random inhomogeneous distribution model of porosity in the combustion space area (CSA) are deduced. For a rectangular coal fire space, the porosity in the shallow and edge side of CSA is large, but in the middle region is small. In the x-y plane, the porosity contour appears a side lying U-shaped distribution, and the porosity presents negative exponent attenuation with an increase in distance entering CSA along the x axis. In addition, the overall trend of the porosity of continuous distribution and random distribution is the same, but the difference is that the porosity described by the random distribution model has a certain stochastic volatility. The random distribution model of porosity has been used in a numerical simulation of the temperature field in a fire zone, and the accuracy of simulation and the applicability of this porosity model are verified by infrared temperature measurements.

     

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