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A Multi-Scale Computational Mechanics Model for Predicting Rutting in Asphaltic Pavement Subjected to Cyclic Mechanical Loading

机译:一种多尺寸计算力学模型,用于预测循环机械荷载沥青路面锚杆

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This paper presents a multi-scale computational approach for predicting damage in asphaltic pavement subjected to cyclic mechanical loading. The approach utilized herein employs continuum mechanics on three simultaneous lengths scales: the global scale of the roadway (m); the local scale of the aggregate (cm); and the micro-scale of micro-cracking (mm). Failure is predicted due to two forms of evolutionary and interacting energy dissipation: material viscoelasticity and micro-cracking in the asphalt binder. The model utilizes damage dependent homogenization techniques to construct averaged properties at the two smaller length scales, thus providing two-way coupling between the three length scales (global, local and micro). The general formulation of the modeling approach is described herein, together with a simplified methodology for predicting pavement failure due to rutting. As a means of illustrating the model, example problems are presented for typical roadways. These examples demonstrate how this technique may be utilized by pavement engineers to control design variables both at the global scale (such as layer depths) and the local scale (such as aggregate volume fraction and size distribution) so as to improve pavement design.
机译:本文介绍了一种多尺度计算方法,用于预测经受循环机械载荷的沥青路面损伤。这里使用的方法采用连续的力学三个同时长度秤:道路(M)的全球规模;聚集体(cm)的局部比例;和微裂纹(mm)的微观规模。由于两种形式的进化和相互作用的能量耗散,预测失败:沥青粘合剂中的材料粘弹性和微裂解。该模型利用损伤依赖性均质化技术在两个较小的长度尺度处构建平均性质,从而在三个长度尺度(全局,局部和微观)之间提供双向耦合。本文描述了建模方法的一般制剂,以及一种简化的方法,用于预测由于车辙引起的路面故障。作为说明模型的手段,呈现出典型道路的示例问题。这些示例演示了如何通过路面工程师利用该技术来控制在全球尺度(例如层深度)和局部刻度(例如集合体积分数和尺寸分布)上控制设计变量,以便改善路面设计。

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