Generalised Kelvin contact models for DEM modelling of asphalt mixtures

粘弹性 材料科学 沥青 蠕动 相位角(天文学) 流变学 离散元法 机械 航程(航空) 接触力 刚度 骨料(复合) 模数 接触力学 复合材料 动态模量 结构工程 有限元法 工程类 动态力学分析 物理 经典力学 光学 聚合物
作者
Gustavo Câmara,Nuno Monteiro Azevedo,Rui Micaelo,Hugo Manuel Ribeiro Dias da Silva
出处
期刊:International Journal of Pavement Engineering [Taylor & Francis]
卷期号:24 (1) 被引量:10
标识
DOI:10.1080/10298436.2023.2179625
摘要

Rigid particle models based on the discrete element method (DEM) have been adopted to model creep, fracture, and the viscoelastic behaviour of asphalt mixtures considering an irregular micro-structure and particle contacts. Within a DEM framework, the Burgers contact model, which is known to have a narrow frequency and temperature range, is usually adopted to model viscoelastic properties. In this study, a new explicit three-dimensional generalised Kelvin (GK) contact model formulation for the DEM model is proposed for asphalt materials. The model is implemented following two different methodologies (GK1 and GK2). The models are validated in uniaxial tension-compression sinusoidal tests for predicting the dynamic modulus (|E∗|) and phase angle (ϕ) of these composites at a frequency range of 1–10 Hz at 20∘C. Four mixtures are investigated based on the modelling of their mastic. The influence of the GK contact parameters on the dynamic response of mastics is assessed. Results show that κm has an important influence on both rheological properties and that ηm can be used for small adjustments focussing on the predicted phase angle. Moreover, it is shown that a viscoelastic contact model should be adopted to simulate aggregate-to-mastic contacts in mixtures. As expected, the response obtained for both GK models is the same but the simulations with the GK1 are 14% faster. In addition, the response predicted with the proposed GK contact model is compared with the response predicted with a Burgers contact model. The DEM predictions obtained for the GK model are more accurate. For mastics, the average errors for |E∗| and ϕ when adopting the GK model (Burgers) are 2.40% (3.46%) and 3.64% (4.17%), respectively. For mixtures, the average errors for |E∗| for the GK model (Burgers) are 7.00% (7.92%). The proposed contact model greatly enhances the DEM ability to simulate the viscoelasticity of asphalt materials.
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