基于灰色模型的沥青混合料低温指标预测  

Prediction of Low Temperature Index of Asphalt Mixture Based on Grey Model

作　　者：朱运鼎 银花[1,2] ZHU Yunding;YIN Hua(Transportation College,Inner Mongolia University,Hohhot 010070,China;Research Center for Bridge Testing,Maintenance and Reinforcement Engineering Technology,Inner Mongolia University,Hohhot 010070,China)

机构地区：[1]内蒙古大学交通学院,内蒙古呼和浩特010070 [2]内蒙古大学桥梁检测与维修加固工程技术研究中心,内蒙古呼和浩特010070

出　　处：《建筑材料学报》2023年第10期1104-1110,共7页Journal of Building Materials

基　　金：内蒙古自然科学基金资助项目(2020MS01013);内蒙古交通科技资助项目(222000-5206034);国家自然科学基金资助项目(11562013)。

摘　　要：为综合考虑沥青低温性能对沥青混合料低温性能的影响,并实现对混合料低温性能的预测,采用弯曲梁流变试验及常规低温试验测定了5种沥青及其混合料的低温评价指标,并与约束试件温度应力试验结果进行了灰色关联分析,建立了分数阶灰色预测模型.结果表明:沥青低温连续分级温度、玻璃态转变温度、脆点、不同温度下的蠕变速率和耗散能比对混合料低温性能影响较大;冻断温度和转折点温度FGM(1,4)模型的误差分别为1.83%和3.71%,精度为优,预测结果合理.In order to comprehensively consider the influence of low temperature performance of asphalt on the low temperature performance of asphalt mixture,and predict low temperature performance of asphalt mixture.The low temperature evaluation indexes of five kinds of asphalt and mixture were determined by bending beam rheological test and conventional low temperature test.Grey correlation analysis was introduced with the results of thermal stress restrained specimen test and a fractional grey prediction model was established.The results show that the low temperature continuous classification temperature,glass transition temperature,brittle point,creep rate and dissipation energy ratio at four temperatures have great influence on the low temperature performance of asphalt mixture.The errors of FGM(1,4)model for freezing temperature and turning point temperature are 1.83%and 3.71%respectively,indicating excellent accuracy and reasonable prediction results.

关 键 词：沥青混合料 分数阶灰色预测模型 低温性能 

分 类 号：U414[交通运输工程—道路与铁道工程]