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将细钢渣作为泡沫混凝土集料,开展钢渣泡沫混凝土导热系数及其影响因素试验研究,并分析建立气孔率、干体积密度与导热系数的关系.基于现有混凝土两相保温系数模型,结合钢渣泡沫混凝土组成结构特点,通过嵌套使用优化的两相导热系数模型推导建立了钢渣泡沫混凝土三相导热系数模型,并结合试验数据通过拟合与线性回归得到三相导热系数模型中的修正系数.利用并联模型、串联模型、Maxwell-Eucken模型等与相关试验数据进行比较,并对钢渣泡沫混凝土三相导热系数模型精度进行了评价分析.相关研究结果表明,通过调整钢渣粒径、掺量和发泡剂的用量,能够配制出干体积密度和导热系数满足要求的钢渣泡沫混凝土;不同配合比钢渣泡沫混凝土的导热系数,可以通过推导建立的三相导热系数模型进行较为准确地预测.
Based on the existing two-phase heat preservation coefficient model of concrete and the combination of steel slag foam (CFD), the thermal conductivity of steel slag foam concrete and its influencing factors were investigated by using the fine steel slag as foam concrete aggregate, and the relationship between porosity and dry bulk density and thermal conductivity was established. Through the nested optimization of two-phase thermal conductivity model, the three-phase thermal conductivity model of steel slag foam concrete was deduced, and the correction coefficient in the three-phase thermal conductivity model was obtained by fitting and linear regression based on the experimental data. Parallel model, tandem model, Maxwell-Eucken model and other related experimental data were compared and the accuracy of three-phase thermal conductivity model of steel slag foam concrete was evaluated.Relative research results show that by adjusting the slag particle size, volume and foam The amount of agent can be prepared dry bulk density and thermal conductivity to meet the requirements of steel slag foam concrete; different proportion of thermal conductivity of steel slag foam concrete, can be derived through the establishment of three-phase thermal conductivity model to predict more accurately.