珊瑚钙质砂导热系数测定及预测模型研究

Thermal conductivity of calcareous sand and its prediction model

利用热探针法测得了不同含水率条件下珊瑚钙质砂的导热系数,采用Johansen模型和Chen模型对珊瑚钙质砂的导热系数进行了预测计算,并结合试验实测值对模型参数进行修正,尝试寻找出合适的预测模型对珊瑚钙质砂导热系数进行有效的模拟计算。研究结果表明:珊瑚钙质砂的导热系数随含水率的增加呈现出线性递增趋势;Johansen模型和Chen模型的预测值均与试验实测值存在较大偏差;改进的Johansen模型和Chen模型预测值均与试验实测值较为接近,均方根误差值(Root-mean-square error)小于0.05,可用来预测珊瑚钙质砂的导热系数,且计算精度较高。

The thermal probe method is used to determine the thermal conductivity of calcareous sands with different water contents.Then the Johansen model and Chen model are selected to predict the thermal conductivity of calcareous sands,and the model parameters are modified by combining with the experimentally measured values to find a suitable prediction model to effectively simulate the thermal conductivity of calcareous sands.The results indicate that the thermal conductivity of calcareous sands shows a linear increasing trend with the increase of water content,and the predicted results by the Johansen model and Chen model both have large deviations from the measured values.The predicted values by the improved Johansen model and Chen model both fit better with the measured values,and they can be used to predict the thermal conductivity of calcareous sands with high accuracy.