摘要
为了研究各种因素对沥青混合料低温性能的影响程度,基于多种不同沥青混合料的低温性能试验数据,利用灰色关联分析法分析了沥青的性能及含量、各筛孔通过率、孔隙率和粉胶比等各种影响因素对沥青混合料低温性能的影响程度,得到了各种影响因素对沥青混合料低温性能影响程度的排序。研究结果表明,灰色关联法分析诸因素对沥青混合料低温性能的影响能获得较好的结果。沥青含量及2.36 mm关键筛孔通过率对沥青混合料的低温性能有重要影响。
Low temperature performance of asphalt mixture is affected by many factors. Based on the data of the low temperature tests with different asphalt mixture and gradation types, the theory of grey relation is applied to calculate the relation between each factors, such as asphalt properties, asphalt content, pass ratios, and porosity. The sequence results of all kinds of factors' influence on low temperature performance of asphalt mixtures were obtained. It was found that satisfied results can be obtained when gray relation theory is used to analyze the influence factors. The sequence results given by the grey relation theory show that the asphalt content and pass ratio of 2.36 mm sieve are the most principal influence factors for the low temperature performance of asphalt mixture.
出处
《广西大学学报(自然科学版)》
CAS
CSCD
北大核心
2012年第1期115-119,共5页
Journal of Guangxi University(Natural Science Edition)
基金
国家自然科学基金资助项目(50808077)
中国博士后科学基金资助项目(20070411113)
关键词
路面工程
沥青混合料
低温性能
灰色关联度理论
pavement engineering
asphalt mixture
performance at low temperature
grey relation theory