根据广东省高速公路沥青路面的抗滑指标、集料特性和混合料级配,以及交通量大数据,分析了不同类型沥青路面抗滑指标横向力系数(sideway force coefficient,SFC)的影响因素,确定了影响SFC的关键因素.以集料特性、级配参数,以及交通参数等关键因素为输入变量建立了沥青路面抗滑指标SFC的预测模型1通过单因素方差分析检验了模型的显著性,并将预测值与实测值进行比较检验预测模型的可靠性.结果表明:沥青路面的抗滑指标SFC稳定值与累积货车轴次CNAT、集料PSV、混合料级配参数λ、κ等参数具有显著相关性.构建的沥青路面抗滑性能预测模型精度较高,能够满足工程应用的要求.
Prediction Model for Long-term Skid Resistance of Asphalt Pavement in Guangdong Province
According to the anti-skid index,aggregate characteristics,mixture gradation and traffic vol-ume data of expressway asphalt pavement in Guangdong Province,the influencing factors of lateral force coefficient(SFC)of different types of asphalt pavement were analyzed,and the key factors af-fecting SFC were determined.Taking the key factors such as aggregate characteristics,gradation pa-rameters and traffic parameters as input variables,the prediction model of anti-skid index SFC of as-phalt pavement was established.The significance of the model was tested by one-way analysis of vari-ance,and the reliability of the prediction model was tested by comparing the predicted value with the measured value.The results show that the stability value of the anti-skid index SFC of asphalt pave-ment is significantly related to the cumulative freight car axle CNAT,aggregate PSV,mixture grada-tion parameters λ,κ and other parameters.The prediction model of asphalt pavement skid resistance has high accuracy and can meet the requirements of engineering application.
road engineeringasphalt pavementskid resistanceSideway Force Coefficientprediction model
万方数据
维普
