摘要
为研究玄武岩纤维长度对沥青混合料性能的影响,将不同长度纤维按照不同比例设计的9种组合分别掺入AC-13型沥青混合料中,并对沥青混合料进行高温稳定性、低温抗开裂性、水稳定性及抗疲劳、抗开裂性能的测试。结果表明:玄武岩纤维加入后,沥青混合料的各项性能均出现不同幅度增长;与单掺6 mm玄武岩纤维相比,混合长度玄武岩纤维对沥青混合料的抗疲劳性能和抗开裂性能改善最为明显,疲劳寿命和CTindex指标分别提高13.6%和32.8%。灰色关联度分析发现:3、6、9 mm玄武岩纤维的掺配比例为2∶3∶1时,关联度最高,其沥青混合料的综合性能达到最优。
To study the influence of the length of basalt fiber on the performance of its asphalt mixture,nine combinations with different length fibers designed according to different proportions were added into AC-13 asphalt mixture respectively.The asphalt mixture was tested for high temperature stability,low temperature cracking resistance,water stability,fatigue resistance and cracking resistance.The results show that the performance of AC-13 asphalt mixture increases with the addition of basalt fibers having different length.Compared with the basalt fibers having the single length 6 mm,the mixed length basalt fibers has the most obvious improvement on the fatigue resistance and cracking resistance of asphalt mixture.The fatigue life and CTindex were increases by 13.6%and 32.8%respectively.The grey relational grade analysis shows that when the proportion of 3,6 and 9 mm basalt fibers is 2∶3∶1,the relational grade is the highest,and the comprehensive performance of the asphalt mixture is the best.
作者
顾倩俪
寇长江
康爱红
陆鹏程
吴正光
GU Qianli;KOU Changjiang;KANG Aihong;LU Pengcheng;WU Zhengguang(College of Civil Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China;Jiangsu Research Center of Basalt Fiber Composite Construction Materials, Yangzhou, Jiangsu 225127, China;Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada;Jiangsu Modern Road and Bridge Co. , Ltd. , Nanjing 210049, China)
出处
《中国科技论文》
CAS
北大核心
2020年第12期1429-1434,1446,共7页
China Sciencepaper
基金
国家自然科学基金资助项目(51908487)
江苏省自然科学基金资助项目(BK20190913)
江苏省高等学校自然科学研究资助项目(19KJB580005)
扬州市科技计划项目(YZ2019075)
扬州市建设科技计划项目(201807)。
关键词
道路工程
沥青混合料
玄武岩纤维
混合长度
路用性能
灰色关联分析
road engineering
asphalt mixture
basalt fiber
mixing length
road performance
grey correlation analysis