长春地区粉质黏土导热系数与其物性参数相关性研究

为研究导热系数与影响因素之间的相关关系,建立导热系数的推算公式,以长春地区粉质黏土为研究对象,对原状土样的导热系数与其物理参数之间的相关性进行回归分析。制作9个重塑土样,测其相关的参数值,以验证回归方程的适用性。结果表明,回归分析建立导热系数与2个物理参数之间的关系式不成立;考虑天然密度、含水率和孔隙度为自变量,其分别对应的相关性系数T检验显著值(Sig)都0. 05,复决定系数为0. 886,建立的回归方程成立,自变量能准确解释因变量的变化,且含水率与导热系数呈负相关,天然密度和孔隙度呈正相关。重塑土样相关参数代入回归方程得到的导热系数值与实验实测值之间相对误差低于4%,验证了该回归方程的普遍性和适用性。

Correlation between thermal conductivity and physical properties of siltyclay in Changchun area

In order to study the correlation between thermal conductivity and influencing factors and establish a formula for calculating thermal conductivity, the authors take silty clay in Changchun area as the research object and apply regression analysis on the correlation between the thermal conductivity of undisturbed soil and its physical parameters.Nine remolded soil samples are used and the relevant parameter values are measured to verify the applicability of regression equation. The results show that the relationship between thermal conductivity and two physical parameters is not tenable by regression analysis. Considering natural density, water content and porosity as independent variables,the T-test significant values (Sig) of corresponding correlation coefficient are less than 0.05, while the coefficient of multiple determination is 0.886, so the established regression equation is tenable. Independent variable can accurately explain the variation of dependent variable, water content is negatively correlated with thermal conductivity, and the natural density and the porosity are positively correlated. The relative error between thermal conductivity value obtained by substituting relevant parameters of remolded soil samples into regression equation and the measured values is less than 4%, which verifies the universality and applicability of the regression equation.