水泥混凝土路面调查及网级使用性能预测模型

为了建立水泥混凝土路面典型的使用性能预测模型，在广东省确定了在环境条件、养护水平等方面均有代表性的四个地区，从中选取有代表性的200条路段，对其结构组成、路面损坏、交通轴载及其车道分布进行详细调查．利用目测法得到各类车辆轴载组成，通过分析得到各类车辆平均轴载换算系数，然后求得标准轴载作用次数．采用空间换时间方法，最后建立了四个地区不同交通量等级下的路面使用性能预测方程．基于方程，还对四个地区路面的衰变特征进行了探讨．

Investigation and Network-Level Prediction Model of Portland Cement Concrete Pavement Performance

In order to model the portland cement concrete(PCC) pavement performance,about 200 pavement sections with typical environment and maintenance level were selected from four districts of Guangdong Province,and then an investigation was made on their pavement structure pattern,distress,traffic volume and wheel path lane coefficient.Axial load composed of five main kinds of vehicles was gained by eye-observing,and then the mean exchange coefficients of each kind of vehicles and equivalent standard axle load were obtained.Based on the method of conversion from space to time,the PCC pavement performance of the four districts was(modeled) and discussed.