摘要
通过分析橡胶粉降噪微表处减振降噪机理,基于正交试验对橡胶粉降噪微表处路用性能影响因素进行研究,对橡胶粉降噪微表处的配合比进行优化。研究表明:微表处路面添加橡胶粉后可以通过增加阻尼的方式来减弱轮胎在路面上的振动,而且混合料表面形成多孔吸声结构来降低噪声,同时起到减振降噪的作用;改性乳化沥青配合比、橡胶粉掺量以及橡胶粉粒径均会不同程度地影响橡胶粉降噪微表处的抗车辙性能、抗水损性能以及降噪性能;根据各因素对各技术指标的贡献顺序对橡胶粉降噪微表处进行了配合比的优化:级配为①类型均匀级配,其中,改性乳化沥青用量为11.5%,外加水量为3%,水性环氧树脂掺量为10%,另外,橡胶粉的细度选择0.250 mm,掺量为3%。
By analyzing the vibration and noise reduction mechanism of the rubber powder noise reduction micro-surfacing,the influential factors for this kind of micro-surfacing on the road performance were studied based on orthogonal tests,and the mix ratio of the rubber powder mixture used in the micro-surfacing was optimized.The results show that the addition of rubber powder to the micro-surfacing can reduce the tire vibration on road surface by virtue of its damping effect and the porous sound-absorbing structure on the mixture surface can reduce the noise.It can play the role of vibration and noise reduction simultaneously.The blending ratio of emulsified asphalt,the amount of rubber powder and the particle size of rubber powder will affect the rutting resistance,water resistance and noise reduction performance of the rubber powder noise reduction micro-surfacing to different extent.According to the contribution order of each factor to each technical index,the mix ratio for the rubber powder noise reduction micro-surfacing was optimized.The optimal gradation selection is type 1 uniform gradation,where the modified emulsified asphalt is 11.5%,the added water is 3%,and the waterborne epoxy resin is 10%.In addition,the fineness of the rubber powder is 0.250 mm,and the dosage is 3%.
作者
王晨
李秀君
朱思杨
谢伟
盛靖昱
WANG Chen;LI Xiujun;ZHU Siyang;XIE Wei;SHENG Jingyu(School of Environment and Architecture,University of Shanghai for Science and Technology,Shanghai 200093,China;Zhejiang Zhixin Testing Technology Co.,Ltd.,Jiaxing 314003,China)
出处
《上海理工大学学报》
CAS
CSCD
北大核心
2020年第3期291-297,共7页
Journal of University of Shanghai For Science and Technology
关键词
橡胶粉降噪
正交试验
路用性能
配合比优化
rubber powder noise reduction
orthogonal test
road performance
mix ratio optimization