基于主成分分析法的沥青路面使用性能评价

Evaluation of asphalt pavement performance based on principal component analysis

针对现有沥青路面使用性能综合评价中存在主观影响因素过多、权重确定复杂的问题,采用主成分分析法对河南省4条高速公路沥青路面使用性能的实测数据进行了评价,并与《公路养护技术规范》方法和灰色理论方法的评价结果进行了比较。结果表明:主成分分析法采用适当的主成分综合分析原始指标的信息,以各主成分的方差贡献率为权重,可以客观地确定各评价指标的权重,反映各指标对总体评价结果的影响;经线性加权求和得到的综合评价指标能够克服主观因素的影响,使沥青路面使用性能评价结果更加客观、可靠。

For the excess of subjective factors and the difficulty of index weight decision in current synthetic evaluation for the performance of asphalt pavement, the principal component analysis （PCA） method was applied to analyze the performance of asphalt pavement as a new thought. The experimental data of four freeways in Henan Province were analyzed with the principal component analysis method. The calculating results were compared with results based on the method of Technical Specifications for Maintenance of Highway Asphalt Pavement and Grey Theory. The results show that the principal component analysis method can combine the information of original indexes by proper principal component and regards the variance contribution as weight. The method can calculate the weights of evaluation index objectively and can reflect the effect of every index on synthetic evaluation result. Then, synthetic evaluation index by summing result of linear power weight for the asphalt pavement performance can eliminate the influence of subjective factors and can make the appraisal more objective and dependable. 4 tabs, 9 refs.