Thermal conductivity of concrete greatly influences the heat transfer of buildings and affected by many factors. This paper presents a prediction model for thermal conductivity of concrete by adopting the theory of Wiener bounds and considering concrete to have four components (water, air, aggregate, and cement mortar). The proposed model considers the combined effects of porosity, water saturation, and the volume fraction of aggregate on the thermal conductivity of concrete by weighting parameters of \({\eta }_{1}\), \({\eta }_{2}\), \({\eta }_{3}\), respectively. By adjusting the weighting parameters of each component, the model can consider the influence of various factors on the thermal conductivity of concrete more comprehensively. Thermal conductivity of each component and expression of weighting parameters are determined by literature and experiments. The proposed model has been verified by the measured thermal conductivity of concrete under different porosities, water content, and volume fractions of aggregate with the prediction accuracy of \(\pm 12\mathrm{\%}\). Finally, the regularity of the change in the thermal conductivity of concrete with porosity, water saturation, the volume fraction of aggregate, and temperature is analyzed.

混凝土的导热性极大地影响建筑物的热传递并受许多因素影响。本文采用维纳边界理论，并考虑混凝土具有四个组成部分（水，空气，骨料和水泥砂浆），提出了混凝土导热系数的预测模型。所提出的模型考虑了孔隙度，含水饱和度和骨料体积分数对混凝土导热系数的综合影响，其加权参数为\（{\ eta} _ {1} \），\（{\ eta} _ { 2} \），\（{\ eta} _ {3} \）， 分别。通过调整各成分的权重参数，该模型可以更全面地考虑各种因素对混凝土导热系数的影响。每个成分的热导率和加权参数的表达均通过文献和实验确定。通过在不同孔隙率，含水量和集料体积分数下测得的混凝土导热系数，预测精度为\（\ pm 12 \ mathrm {\％} \）验证了该模型的有效性。最后，分析了混凝土的导热系数随孔隙率，水饱和度，集料体积分数和温度的变化规律。