Abstract In this contribution, a physically motivated continuum mechanical model for asphalt concrete and stone mastic asphalt (asphalt material) at large deformations is proposed. The rheological model consists of a short-term and a long-term part connected in series governing the description of the short-term and the long-term behavior (volume preserving) of the asphalt material, respectively. The rheological element assembly of the short-term part is physically motivated by the particle size distribution of the asphalt material under investigation (choice of several networks formed by different size fractions of the aggregate mixture) and represents the asphalt material’s mainly viscoelastic behavior to short-term loading, e.g. during contact with a rolling tire. The long-term part captures large inelastic (accumulated) deformations due to repetitive loading and enables to represent e.g. rut formation during a structural pavement analysis. An experimental testing program including digital image correlation (DIC) for strain measurements on cylindrical samples was set up and enabled the identification of the model parameters. Furthermore, specific model parameters have been identified from the information provided by the manufacturer’s data sheet of the asphalt material based on the particle size distribution of aggregates, the binder content and the void content.

中文翻译：

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基于粒度分布的沥青连续力学模型：大变形的数值公式和实验验证

摘要 在此贡献中，提出了大变形下沥青混凝土和石质沥青（沥青材料）的物理激励连续介质力学模型。流变模型由串联连接的短期和长期部分组成，分别控制沥青材料的短期和长期行为（体积保持）的描述。短期部分的流变元件组装是由所研究的沥青材料的粒度分布（选择由不同尺寸的骨料混合物形成的几种网络）物理驱动的，并代表沥青材料的主要粘弹性行为到短路。长期载荷，例如在与滚动轮胎接触期间。长期部分捕获由于重复加载而导致的大的非弹性（累积）变形，并能够在结构路面分析期间表示例如车辙形成。建立了一个包括数字图像相关 (DIC) 的实验测试程序，用于对圆柱形样品进行应变测量，并能够识别模型参数。此外，根据沥青材料的制造商数据表提供的信息，根据集料的粒度分布、粘合剂含量和空隙含量确定了特定的模型参数。建立了一个包括数字图像相关 (DIC) 的实验测试程序，用于对圆柱形样品进行应变测量，并能够识别模型参数。此外，根据沥青材料的制造商数据表提供的信息，根据集料的粒度分布、粘合剂含量和空隙含量确定了特定的模型参数。建立了一个包括数字图像相关 (DIC) 的实验测试程序，用于对圆柱形样品进行应变测量，并能够识别模型参数。此外，根据沥青材料的制造商数据表提供的信息，根据集料的粒度分布、粘合剂含量和空隙含量确定了特定的模型参数。