摘要
在梳理微表处路用性能研究现状的基础上,论述微表处混合料的成型机理、现有路用性能评价指标与方法,分析微表处各组成材料及外界环境对路用性能的影响。介绍了几种新型微表处的发展,并总结微表处当前存在的问题及未来研究方向。分析表明:现有沥青微表处路用性能评价存在方法多样、指标体系不完整等缺点;微表处路用性能受到改性剂类型、掺量、掺入方式、集料特性、级配、纤维特性、纤维质量分数、水泥、温度、风速及施工工艺等因素影响,其中改性剂、集料、纤维、水泥影响显著;新型微表处取得了一定的发展,但仍然存在诸多缺陷,如提升特定功能后,会使得微表处的路用性能得到削弱;在微表处实体工程中,施工设计和施工质量也存在一定缺陷,导致微表处不能达到预期效果。
On the basis of combing the research status of micro-surfacing pavement performance,the forming mechanism of micro-surfacing mixture,existing road performance evaluation index and method were discussed.And the influence of micro-surfacing materials and external environment on road performance were analyzed.This paper introduced the development of several new micro-surfaces,and summarized the existing problems and future research trend of micro-surfacing.The analysis shows that the existing asphalt micro-surfacing pavement performance evaluation methods are diverse with incomplete index system.The pavement performance of micro-surfacing is affected by the modifier type,dosage,mixing method,aggregate characteristics,grading,fiber characteristics,fiber mass fraction,cement,temperature,wind speed,construction technology and other factors,among which the modifier,aggregate,fiber and cement have the significant influence effect.The new micro-surfacing has made certain development,but there are still many disadvantages.For example,the road performance at micro-surface will be weakened after improving the specific functions.In the micro-surfacing entity project,there are some defects in the construction design and construction quality,leading to a unexpected effect at micro-surface.
作者
郑木莲
高源
刘富强
李洪印
陈旺
王倩倩
王飞
ZHENG Mulian;GAO Yuan;LIU Fuqiang;LI Hongyin;CHEN Wang;WANG Qianqian;WANG Fei(Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an, 710064, China;Shamdpmg Hi-Speed Group Co. ,Ltd. , Jinan 250098, China)
出处
《中国科技论文》
CAS
北大核心
2020年第12期1447-1458,共12页
China Sciencepaper
基金
山东交通科技项目(2017B65)。
关键词
道路工程
微表处
路用性能
影响因素
机理分析
highway engineering
micro-surface
rodad performance
influencing factors
mechanism analysis