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温度是影响半刚性基层强度增长的重要因素。在实际工程中,半刚性基层温度随大气温度、天气情况、实测时间等因素发生变化。正确预测沥青路面基层温度,对于研究基层强度的增长规律有着重要意义。在对路面基层实测温度分析的基础上,把基层温度作为反应变量,将其划分成3个以上的水平。然后以影响路面基层温度的因素作为自变量,采用累积Logistic回归模型,对路面基层温度进行了预测,建立了路面基层温度概率预测模型,同时提出采用MINITAB软件计算路面基层温度,最后验证了预测模型的准确性。
Temperature is an important factor that affects the strength growth of semi-rigid base. In practical engineering, the temperature of semi-rigid base varies with the atmospheric temperature, weather conditions, measured time and other factors. Correctly predicting the temperature of asphalt pavement base is of great significance for studying the growth law of base strength. Based on the measured temperature analysis of the pavement basement, the base temperature is taken as the reaction variable, which is divided into three or more levels. Then, based on the factors that affect the temperature of pavement basement, the cumulative Logistic regression model was used to predict the pavement base temperature. The prediction model of pavement base temperature was set up. At the same time, MINITAB software was proposed to calculate the pavement temperature. Finally, the prediction model Accuracy