堵塞
雨水收集
透水混凝土
岩土工程
磁导率
振动
沥青
环境科学
计算流体力学
工程类
石油工程
材料科学
水泥
复合材料
航空航天工程
生态学
考古
量子力学
物理
历史
生物
膜
遗传学
作者
Liang He,Xiaofeng Jiang,Xi Chen,Zidong Zhou,Jiong Zhang,Alessio Alexiadis,Wim Van den bergh,Sergei Kravchenko,Tae‐Soon Park,Augusto Cannone Falchetto,Goran Mladenović,Jan Valentin,Karol J. Kowalski
标识
DOI:10.1080/1573062x.2024.2445114
摘要
During the in-service use of porous asphalt pavement, debris can clog internal voids, impacting both its long-term performance and maintenance costs. Thus, understanding the clogging mechanism is crucial. This study introduces a novel approach to simulate clogging behavior by coupling the discrete element method (DEM) and computational fluid dynamics (CFD) to analyze various particulate clogging scenarios. The simulations included the effects of vehicle vibrations, the impact of rainwater seepage and their combination. The simulation results reveal that both vibration and rainwater significantly reduce clogging material mass, improving pavement permeability. Particles sized between 0.15 mm and 1.18 mm were identified as the most likely to cause clogging, with the tendency increasing alongside seepage velocity. This methodology provides a comprehensive framework for analyzing real-world clogging mechanisms and offers valuable insights for designing more durable and sustainable porous asphalt pavements.
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