水泥混凝土导热性能影响因素及预估模型研究

Influence Factor of Thermal Conductivity of Cement Concrete and Its Prediction Model

为提高融冰雪效率,研究具有良好导热性能的混凝土铺面材料,通过试验得出了普通、钢纤维、碳纤维混凝土的配合比,采用热传导仪测定了它们的导热系数λ.系统研究了骨料体积分数、砂率、水灰比、温度、纤维种类和掺量对混凝土导热系数的影响规律,并基于广义灰关联法对各因素进行排序,依据测试结果和影响规律建立了以上3类混凝土导热系数预估模型.结果表明:钢纤维混凝土最适宜作为融冰雪路面材料;纤维种类和掺量对混凝土导热性能起主导作用,骨料体积分数、温度和水灰比的影响次之,砂率的影响最小.

In order to improve the efficiency of snow melting and deicing, pavement concrete material that possesses good thermal conductivity was studied. Concrete mixture of common concrete, steel fiber concrete and carbon fiber concrete were obtained through laboratory testing. Thermal conductivity of these concrete was measured by thermal conductivity detector. The influence of factors on thermal conductivity, namely, aggregate volume content, sand percentage, water-cement ratio, temperature, fiber type and content were investigated. Various factors were sorted based on generalized gray correlation method. Prediction model of thermal conductivity of three kinds of concrete were established according to the test results and the influence. The results show that steel fiber concrete is strongly recommended as melting-snow and deicing pavement material. Fiber type and content plays dominant role on thermal conductivity. The influence of aggregate volume content, temperature and water-cement ratio is greater than the sand percentage.