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为了客观、准确的研究沥青混合料高温稳定性各影响因素的影响权重,提出了基于邓氏灰关联分析方法的典型灰关联度理论。利用典型灰关联度对影响沥青混合料高温稳定性的级配类型、沥青用量、空隙率、温度、荷载等因素进行计算分析,并与前人利用灰熵关联度得到的结果进行对比。典型灰关联度计算结果表明沥青混合料高温稳定性影响序列为:荷载>温度>空隙率>4.75mm筛孔通过率>粉胶比>公称最大粒径>沥青用量,荷载、温度、空隙率为影响最大的因素;典型灰关联度得到的数据区分程度较灰熵关联度要大,典型灰关联度中最大值和最小值差值达到0.108973,且数值分布宽泛,而灰熵关联度最大值和最小值差值仅为0.015200,数值分布相对较集中,典型灰关联度的区分度是灰熵关联度区分度的7.2倍。
In order to objectively and accurately study the influencing factors of the influencing factors on the high temperature stability of asphalt mixtures, a typical gray relational theory based on Dunhill gray correlation analysis method is proposed. The grading types, asphalt content, porosity, temperature, load and other factors influencing the high temperature stability of asphalt mixture were calculated and analyzed by using the typical gray relational grade. The results were compared with those obtained by predecessors using the gray entropy correlation degree. The calculation results of typical gray relation show that the sequence of high temperature stability of asphalt mixture is as follows: load> temperature> void ratio> 4.75mm mesh passing rate> ratio of powder to cement> nominal maximum particle size> asphalt content, load, temperature and void ratio The most significant factor is the degree of gray relational degree of the typical gray relational degree, the difference between the maximum value and the minimum value of the typical gray relational degree reaches 0.108973, and the value distribution is broad, while the gray relational maximum value and The difference between the minimum value is only 0.015200, the value distribution is relatively concentrated, the discrimination degree of the typical gray relation degree is 7.2 times that of the gray entropy relation degree.