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Two Dimensional and Three Dimensional Discrete Element Models for HMA

机译:HMA的二维和三维离散元件模型

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Hot Mix Asphalt (HMA) is a composite material that consists of mineral aggregates, asphalt binders and air voids. A Discrete Element Model (DEM) of the HMA microstructure was developed to study the stiffness behavior in both two dimensions (2D) and three dimensions (3D). Image analysis techniques were used to capture the HMA microstructure. The HMA microstructure was divided into two phases: aggregates phase (i.e., aggregates larger than 1.18mm sieve) and mastic phase (i.e., with binder and aggregates smaller than 1.18 mm). Air voids were modeled within the DEM to meet a specific air void level (i.e. 0%, 4%, and 7%) by using a random algorithm. The 3D microstructure of the asphalt mixture was obtained by using a number of parallel 2D images. The input data on the models included not only the aggregate and mastic properties, but also the microstructure of the aggregate skeleton and mastic distribution. Both 2D and 3D models were used to compute the stress-strain response under compressive loads. The moduli of the specimens were computed from the stress-strain curve in the DEM simulation. The moduli of the 2D and 3D models were then compared with the experimental measurements. It was found that the 3D discrete element models were able to predict the mixture dynamic modulus across a range of temperatures and loading frequencies. The 3D model predictions were much better than that of the 2D model. In addition, the effect of different air void percentages was discussed in this paper. As air void increased, the predicted modulus decreased.
机译:热混合物沥青(HMA)是一种复合材料,包括矿物骨料,沥青粘合剂和空隙。开发了HMA微观结构的离散元素模型(DEM)以研究两个维度(2D)和三维(3D)中的刚度行为。图像分析技术用于捕获HMA微观结构。将HMA微观结构分成两相:聚集相(即,大于1.18mm筛的聚集体)和乳香相(即,粘合剂和聚集体小于1.18mm)。通过使用随机算法,在DEM内建模空气空隙,以满足特定空隙水平(即0%,4%和7%)。通过使用多个平行的2D图像获得沥青混合料的3D微观结构。模型上的输入数据不仅包括聚集和髓质性质,还包括聚集骨骼和髓分布的微观结构。 2D和3D模型都用于计算压缩载荷下的应力 - 应变响应。从DEM仿真中的应力 - 应变曲线计算样本的模态。然后将2D和3D模型的模态与实验测量进行比较。发现3D离散元件模型能够在一系列温度和装载频率上预测混合动态模量。 3D模型预测比2D模型更好。此外,本文讨论了不同空隙率百分比的效果。由于空气空气增加,预测模量减少。

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