高等级公路沥青路面典型结构的识别方法

IDENTIFICATION OF TYPICAL ASPHALT PAVEMENT STRUCTURE FOR HIGH-LEVEL HIGHWAY

建立路面典型结构设计方法的关键在于从众多可供选择的路面结构中优选出具有良好使用性能的路面结构作为典型结构的标准模式,本文利用模糊数学和系统科学的方法对这一问题进行了研究.首先,通过模糊统计和最小二乘回归建立了决定路面使用性能好坏的车辙、平整度等五种因素的隶属函数集;而后,在专家打分的基础上,用层次分析法的权重模型和基于非线性规划的Ekclid权重模型两种方法求得了上述五种因素的权重,并以模糊综合评价为手段,获得了不同路面的综合评价;最后,发展并依靠最大隶属度原则、相对最大隶属度原则以及字典排序原则,选择出具有忧良使用品质的路面结构作为典型路面结构.

The key to propose a design method for typical pavement structures is to select a pavement structure with good performances from many pavement structures as a standard one. In the paper, this problem is studied by use of fuzzy mathmatics and system science. Firstly, by means of fuzzy statistics membership function sets are established for five factors affecting rut, evenness of pavement etc. Then weights of these five factors are given. The evaluation of pavement is carried out comprehensively. Finally, three kinds of identification principle to select the typical pavement structure are developed.