Influence of mineral filler characteristics on the filler-asphalt interfacial behavior

被引:1
|
作者
Xing, Baodong [1 ]
Fang, Chen [1 ]
Lyu, Xiaobo [2 ]
Fan, Weiyu [3 ]
Lyu, Yuchao [3 ]
机构
[1] Yancheng Inst Technol, Sch Civil Engn, Yancheng 224051, Peoples R China
[2] Hebei Univ Engn, Dept Civil Engn, Handan 056000, Peoples R China
[3] China Univ Petr, State Key Lab Heavy Oil Proc, Qingdao 266580, Peoples R China
基金
中国国家自然科学基金;
关键词
Particle characteristics; Form factor; Specific surface area; Interfacial behavior; Microscopic morphology; RHEOLOGICAL PROPERTIES; MODULUS REINFORCEMENT; ELASTOMER COMPOSITES; EVALUATION INDEXES; FRACTAL DIMENSION; POWDER FILLERS; AGGREGATE; FRAGMENTATION; TEMPERATURE; MORPHOLOGY;
D O I
10.1016/j.apt.2024.104636
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The knowledge of mineral filler characteristics and their impacts on filler-asphalt interfacial behavior is not systematic and completed yet. In this paper, eight mineral fillers prepared using the same milling procedure were investigated. The filler-asphalt interfacial behavior was analyzed by differential scanning calorimetric and dynamic shear rheometer tests. Results reveal that in contrast to form factor and specific surface area, particle porosity, particle density, aspect ratio, angularity index, fractal dimension and feature roughness decrease with decreasing particle size. Limestone filler exhibits more regular shape, less significant angularity and richer surface texture than basalt filler. Of all particle characteristics studied, form factor and specific surface area are suggested to be the determining factors affecting filler-asphalt interfacial behavior. Moreover, microscopic morphology analysis provides an insight to interpret the differences explored in mastic interfacial property. The results help employ applicable particle characteristics that fabricate mastic with a stable interface system. (c) 2024 The Society of Powder Technology Japan. Published by Elsevier BV and The Society of Powder Technology Japan. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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收藏
页数:18
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