沥青
返老还童
材料科学
分子动力学
复合材料
骨料(复合)
分离(统计)
化学物理
接口(物质)
纳米技术
法律工程学
计算化学
化学
计算机科学
工程类
老年学
医学
毛细管数
机器学习
毛细管作用
作者
Dongliang Hu,Xingyu Gu,Fenghua Yang,Zhou Zhou,Wu Bo,Bingyan Cui,Jianzhong Pei
标识
DOI:10.1016/j.apsusc.2022.153775
摘要
• Cracking of asphalt-aggregate interface was studied by MD simulation and DFT method. • Cracking resistance of the interface is dependent on loading rate and temperature. • Asphalt aging reduces the fatigue cracking resistance of asphalt-aggregate interface. • Rejuvenator can restore the fatigue cracking resistance of the aged interface system. The microscopic interfacial properties between asphalt and aggregates determine the macroscopic cracking behaviors of asphalt mixtures. To provide guidance on durability enhancement for reclaimed asphalt pavement mixtures that are prone to cracking, the fracture resistance of asphalt–aggregate interface and its dependence on aging and rejuvenation was investigated by molecular dynamics simulations and density functional theory. The results revealed that although the separation resistance is influenced by the loading rate, temperature and aggregate composition, the separation of the virgin interface system usually occurs within the asphalt region. The aged interface also tends to separate inside the asphalt, but if the asphalt is severely aged, debonding occurs at the asphalt–aggregate interface because the cohesive strength within asphalt is stronger than the interfacial adhesion strength. The aged interface exhibits higher resistance to complete fracture than virgin interface under non-repetitive loading. However, the enhanced molecular polarity of aged asphalt reduces its molecular flowability, thus weakening the resistance of aged interface to fatigue failure. Rejuvenators containing both polar carboxyl groups and nonpolar alkyl groups function as intermediaries to promote the compatibility of aged asphalt molecules with virgin molecules, thus restoring the flowability and fatigue failure resistance of aged interface systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI