Evaluating and quantifying segregation in asphalt pavement construction: A state-of-the-practice survey

被引:3
|
作者
Shi, Jiachen [1 ]
Gong, Hongren [1 ]
Cong, Lin [1 ]
Liang, Haimei [1 ]
Ren, Minda [1 ]
机构
[1] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, 4800 Caoan Rd, Shanghai 201804, Peoples R China
基金
中国国家自然科学基金;
关键词
Construction quality evaluation; Hot mix asphalt; Segregation; Text mining; Image processing; GROUND-PENETRATING RADAR; INTERNAL STRUCTURE; DENSITY; CONCRETE; COMPACTION; IMAGE; LASER; GPR; PERFORMANCE; PREDICTION;
D O I
10.1016/j.conbuildmat.2023.131205
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Asphalt pavement construction requires accurate, rapid, and continuous quality evaluation. As a primary defect appearing in construction, segregation significantly reduces the pavement's mechanical properties and service life, making it become a hot spot in asphalt pavement construction research. This review aims to provide a state-of-the-art review about evaluating and quantifying hot mix asphalt segregation and identify the opportunities and challenges in the quality evaluation of automatic asphalt pavement construction. This review contained text mining findings and critical surveys. Text mining was used to analyze the co-occurrence relationship of research keywords and the change of research heats. Based on the text mining findings, we critically reviewed the data collection, data processing, and quantification indexes of the subjective, direct-objective, and indirect-objective segregation evaluation methods. The remaining deficiencies and possible research directions have been discussed.
引用
收藏
页数:23
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