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出 处:《成都大学学报(自然科学版)》2015年第1期101-104,共4页Journal of Chengdu University(Natural Science Edition)
摘 要:根据冻土多孔多相介质各组分随机分布的特性,结合随机模拟方法,应用有限元数值模拟软件COMSOL研究了导热系数与各影响因子之间的关系.计算结果表明:一定范围内的冻土土粒粒径以及含水量与导热系数表现为非线性关系,含水量与等效导热系数呈明显的非线性关系;在数量级较小的范围内导热系数与孔隙率以及未冻水含量表现为非线性关系.研究结果与实测结果和已有成果相符合,证明此方法是一种研究冻土物性参数的有效手段.According to the permafrost characteristics of the random distribution of components of porous multiphase medium,using the stochastic simulation method and the finite element numerical simulation software COMSOL,this paper studies the relationship between the coefficient of thermal conductivity and the influence factors. The calculation results show that a certain range of the permafrost soil grain size and the water content and the coefficient of thermal conductivity performance have nonlinear relation,and the nonlinear relation of the water content and the coefficient of equivalent thermal conductivity is obvious. Within the scope of the smaller order of magnitude,the relation among the thermal conductivity coefficient and the porosity and the unfrozen water content is characterized by the nonlinear relation. The research results have been consistent with the measured results and the previous research,which proves that such method is an effective means to study the physical property for frozen soil.
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