Accurate detection method for compaction uniformity of asphalt pavement

被引:21
|
作者
Zhang, Zhengqi [1 ]
Huang, Shuolei [1 ]
Zhang, Ke [2 ]
机构
[1] Changan Univ, Key Lab Special Area Highway Engn, Minist Educ, Xian 710064, Shaanxi, Peoples R China
[2] Fuyang Normal Univ, Coll Informat Engn, Fuyang 236041, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Road engineering; Asphalt pavement; Compaction uniformity; Detection method; Density distribution; Void distribution;
D O I
10.1016/j.conbuildmat.2017.03.227
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To evaluate the compaction uniformity effectively, firstly, the feasibility of using density and void distribution as compaction uniformity evaluation index was demonstrated by laboratory test. Secondly, relying on the project of Tong-Xun Highway, reasonable detection interval of non-nuclear density gauge PQI was determined, and quantitative evaluation index of density distribution uniformity was also proposed. Next, core samples at representative density point were drilled and of which the voids distribution characteristic on sectional image of core sample was analyzed by image processing technology, and further on, the evaluation index of void distribution uniformity was put forward. Finally, the accurate detection method of compaction uniformity based on density and void distribution was exampled relying on entitative engineering. The results show that it is feasible to evaluate the compaction uniformity of asphalt pavement with its density and void distribution. The reasonable lateral detection interval of PQI is 1.5 m, and the reasonable longitudinal detection space is 50 m. Density statistical index such as S-r, S-R, k and h can reflect the density distribution uniformity on detection section. Voids number uniform coefficient UCN and voids ratio uniform coefficient UCR of core samples can reflect the compaction uniformity of asphalt pavement from the aspect of micro structure. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:88 / 97
页数:10
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