煤岩体导热系数试验及单因子方差分析

为研究温度和含水量对煤、岩体导热系数的影响,采用激光闪射法测得8种煤、岩样品的导热特性参数;利用单因子方差分析方法对不同温度条件下的煤岩体导热系数测定结果进行比较分析,结果表明:煤岩体的导热系数随温度升高线性降低,随含水量增大而增大;岩石的导热系数大于煤体的导热系数,岩石的导热系数为1~5W/(m·K),煤的导热系数为0.1~0.5 W/(m·K);拟合得到不同煤体导热系数和温度的关系式,其拟合函数相关度在0.93左右,最大相对误差为2.18%。因此,可利用拟合函数和测试结果预测测试矿井的煤岩体导热系数。

Thermal conductivity experiments with the coal and rock mass and a single factor variance analysis

The present paper is to devote itself to the exploration of the impact of the change of temperature and water content on the thermal conductivity of the coal and rock mass.For the research purpose,we have applied the laser flash method to the testing and measurement of the characteristic parameters of the thermal conduction of the coal and rock mass samples.It is just on the basis of the measured results of such thermal conductivity that we have made analysis of and comparison among the investigated results of coal rock's thermal conductivity under different temperatures and water contents with the single factor variance analysis method.Thus,it can be deduced that different temperatures and water content concentrations may have significantly different effects on the thermal conductivity of the coal and the rock mass.What is more,it is just due to the analysis of the experimental results with the one-way ANVOA method we have proposed in this paper that the impacts of such temperature and water content on the thermal conductivity of coal and rock mass should be made easier and better understood,and,in turn,push us to come up with the quantitative statistical results based on the experiment results,proving that the thermal conductivity of the coal and rock mass tends to decrease linearly with the increase of temperature but increase with the increase of the moisture content.Furthermore,the experimental data also help us to conclude that the thermal conductivity of the rock is greater than that of the coal,wherein the thermal conductivities of the rock and the coal are respectively equal to 1-5 W/(m· K),0.1-0.5 W/(m · K).At the same time,the statistical analysis of the experimental data helps us to draw a conclusion that the thermal conductivity of the coal and rock mass can be increased by 27.6％ with the increase of the water content.And,finally,we have worked out the relation between the thermal conductivity and the temperature of different coal rock masses by fitting,finding that the relative degree of the fitting function is about 0.93 through calculation,with the maximum relative error being 2.18％.Thus far,the fitting function and the test results can be expected to be used for predicting the thermal conductivity of the coal and the rock mass in other similar cases.