当前位置: X-MOL 学术Road Mater. Pavement Design › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Predictive quantitative model for assessing the asphalt-aggregate adhesion quality based on aggregate chemistry
Road Materials and Pavement Design ( IF 3.7 ) Pub Date : 2021-03-19 , DOI: 10.1080/14680629.2021.1900896
Andrés Cala 1 , Silvia Caro 1
Affiliation  

Asphalt-aggregate adhesion quality is a key factor in the mechanical performance of asphalt pavements. This work presents a predictive model of moisture damage in asphalt-aggregate systems based on aggregate chemistry. The study included seven siliceous aggregates and two calcareous aggregates, and one source of asphalt binder. Specimens composed of an aggregate core, a 20 μm thick asphalt film and a metallic stub were tested via a pull-off debonding experimental setup after multiple water conditioning processes. The experimental results i.e. maximum load at failure, Fmax, work of fracture, Wf, and adhesive failure area at the surface of the aggregate, A% show that for siliceous aggregates, the SiO2 content increases moisture susceptibility while the opposite is seen for Fe2O3 and CaO, and that for calcareous aggregates, moisture susceptibility increases with their SiO2 content. These results were used to propose, for the first time, an empirical moisture damage predictive model for siliceous aggregates based on aggregate chemistry.



中文翻译:

基于骨料化学的沥青-骨料附着质量预测定量模型

沥青-集料的附着质量是影响沥青路面力学性能的关键因素。这项工作提出了一个基于骨料化学的沥青骨料系统中水分损害的预测模型。该研究包括七种硅质骨料和两种钙质骨料,以及一种沥青粘合剂来源。在多次水处理过程后,通过拉脱剥离实验装置对由骨料芯、20 微米厚的沥青薄膜和金属短柱组成的试样进行了测试。实验结果,即最大破坏载荷F max、断裂功W f和骨料表面的粘合破坏面积A %表明,对于硅质骨料,SiO 2Fe 2 O 3和 CaO 的含量会增加水分敏感性,而对于钙质骨料,水分敏感性会随着其 SiO 2含量的增加而增加。这些结果首次用于提出基于骨料化学的硅质骨料经验水分损害预测模型。

更新日期:2021-03-19
down
wechat
bug