摘要
沥青混合料的永久变形行为与其微细观结构特征密切相关。基于用户自定义离散元模型,使用离散元软件PFC3D重构了沥青混合料的微细观结构组成,构建了用于车辙试验的沥青混合料虚拟试件,并使用离散元软件中的不同微观接触模型表征各微细观组成结构间的接触。在此基础上开展基于用户自定义离散元模型的虚拟车辙试验,并验证了其可行性。研究结果表明:虚拟车辙试验能够较准确地模拟沥青混合料的变形规律,结果与真实试验较为接近,且变异性水平显著低于规范要求。提出的基于用户自定义离散元模型的方法能够快速、准确地构建沥青混合料内部结构,为进一步研究其永久变形行为的微细观特性提供了新手段。
The permanent deformation behaviors of asphalt mixtures are closely related to their microscopic characteristics.The microscopic components of asphalt mixtures were reconstructed using the discrete element software PFC3D based on a user-defined discrete element model for asphalt mixtures,and the virtual specimens of asphalt mixtures for rutting test were de-veloped.The micromechanical models were employed to represent the interactions within the microscale components of virtu-al specimens of asphalt mixtures.Then the virtual rutting test of asphalt mixtures was conducted,and its variability was also verified.It is found that the deformation law of asphalt mixtures can be simulated accurately during virtual rutting test,and the test results were very closed to the laboratory measurements.The variability of virtual rutting test is significantly lower than the specification requirements.The microscopic components of asphalt mixtures can be conveniently and accurately modeled using the user-defined discrete element model for asphalt mixtures proposed in this paper,which will provide a new means for further investigating the microscopic characteristics of the permanent deformation behaviors of asphalt mixtures.
作者
张德育
韦有信
潘大荣
ZHANG Deyu;WEI Youxin;PAN Darong(School of Civil Engineering and Architecture,Nanjing Institute of Technology,Nanjing 211167,China;School of Transportation,Southeast University,Nanjing 211189,China)
出处
《现代交通技术》
2025年第3期1-6,共6页
Modern Transportation Technology
基金
江苏省高等学校基础科学(自然科学)面上项目(21KJB580002)
江苏省博士后科研资助计划项目(2019K138)
江苏省基础研究计划(自然科学基金)项目(BK20140109)
南京工程学院校级科研基金项目(YKJ201512)。
关键词
沥青混合料
永久变形
虚拟车辙试验
变异性
用户自定义离散元模型
asphalt mixture
permanent deformation
virtual rutting test
variability
user-defined discrete element model