基于决策分析的多聚磷酸改性沥青原材料优选

兰州理工大学学报 ›› 2023, Vol. 49 ›› Issue (1): 30-35.

基于决策分析的多聚磷酸改性沥青原材料优选

张海红^*1, 刘贵勇², 杨艳华¹, 杨小龙²

1.甘肃省交通科学研究院集团有限公司, 甘肃兰州 730050;
2.广西大学土木建筑工程学院, 广西南宁 530004

收稿日期:2022-06-07 出版日期:2023-02-28 发布日期:2023-03-21
通讯作者: 张海红(1983-),男,甘肃兰州人,高级工程师. Email:565015516@qq.com

Material optimization of polyphosphoric acid modified asphalt based on decision analysis

ZHANG Hai-hong¹, LIU Gui-yong², YANG Yan-hua¹, YANG Xiao-long²

1. Gansu Transportation Research Institute Group Co. Ltd., Lanzhou 730050, China;
2. School of Civil Engineering and Architectural, Guangxi University, Nanning 530004, China

Received:2022-06-07 Online:2023-02-28 Published:2023-03-21

摘要/Abstract

摘要： PPA改性沥青具有价格低廉、储存稳定性及高温稳定性好等优点,应用前景良好,而PPA与沥青间复杂的配伍性是阻碍PPA改性沥青应用的重要原因.为优选具有最佳改性效果的PPA改性沥青原材料,提出综合考虑沥青的高温性能、流变特性及低温性能,以层次分析-模糊数学法(AHP-FUZZY)建立PPA改性沥青原材料综合优选模型,优选具有最佳配伍性的基质沥青及PPA原材料.将所选取的原材料宏观性能测试结果带入模型计算得出各PPA改性沥青掺配方案的优越度,结果表明,壳牌90^#基质沥青与相对质量分数为115%的PPA配伍性最佳.

关键词: 改性沥青, 多聚磷酸, 模糊数学, 层次分析法

Abstract: PPA modified asphalt has the advantages of low price, good storage and high-temperature stability, and has a good application prospect, however, the complex compatibility between PPA and asphalt is an important reason that hinders the application of PPA modified asphalt. To select the best modification effect of PPA modified asphalt materials,PPA modified asphalt materials comprehensive optimization model is established on the basis ofthe analytic hierarchy process (AHP) and fuzzy mathematics method to optimize the best compatibility of the matrix asphalt and PPA raw materials, considering the high temperature properties, rheological properties and low-temperature performance of asphalt.The test results of the selected macro performanceof modified asphalt materials were taken into the model to calculate the superiority of each PPA modified asphalt mixing scheme. The results showed that the compatibility of Shell 90# base asphalt with 115% PPA is the best.

Key words: modified asphalt, polyphosphoric acid, fuzzy mathematics, analytic hierarchy process

中图分类号:

TB114.1

张海红, 刘贵勇, 杨艳华, 杨小龙. 基于决策分析的多聚磷酸改性沥青原材料优选[J]. 兰州理工大学学报, 2023, 49(1): 30-35.

ZHANG Hai-hong, LIU Gui-yong, YANG Yan-hua, YANG Xiao-long. Material optimization of polyphosphoric acid modified asphalt based on decision analysis[J]. Journal of Lanzhou University of Technology, 2023, 49(1): 30-35.

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