基于熵权–正态云模型的沥青路面使用性能评价

Application of Asphalt Pavement Performance Evaluation Based on Entropy Weight-normal Cloud Model

针对目前路面使用性能评价方法中均未考虑到沥青路面使用性能评价指标中的模糊性和随机性等问题,本文引入正态云模型理论,将随机性和模糊性问题通过正态云模型应运用于道路的评价等级,应用该模型对路面使用性能进行分析,通过云模型正向发生器计算各指标对应的评价等级确定度,结合熵权法确定各指标所占权重,根据综合确定度最大隶属的原则,以此综合评价沥青路面使用性能。为验证熵权–正态云模型评价方法的可行性,本文同时运用物元法对路面使用性能进行分析对比。以新疆地区某高速公路为例进行建模计算,正态云模型的道路评价等级与物元法的算法结果一致,符合现场巡查和野外勘探结果,证明该方法是可行的。为沥青路面使用性能评价提供了新的途径。

For the current pavement performance evaluation methods,the problems of ambiguity and randomness in the performance evaluation index of asphalt pavement are not considered.After the study,the normal cloud model theory is introduced.The randomness and fuzziness problems are applied to the evaluation level of the road through the normal cloud model.The model is used to analyze the pavement performance,and the indicators are calculated by the cloud model forward generator.Corresponding evaluation level determination degree,combined with entropy weight method to determine the weight of each index,according to the principle of comprehensive determination of the maximum membership,in order to comprehensively evaluate the performance of asphalt pavement.In order to verify the feasibility of the entropy weight-normal cloud model evaluation method,this paper also uses the matter-element method to analyze and compare the pavement performance.Taking a highway in Xinjiang as an example,the road evaluation grade of the normal cloud model is consistent with the algorithm result of the matter-element method,which is consistent with the on-site inspection and field exploration results,which proves that the method is feasible.It provides a new way for the evaluation of the usability of asphalt pavement.