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Nonlinear Viscoelastic Behavior of Asphalt Concrete and its Implication on Fatigue Modeling

机译:沥青混凝土的非线性粘弹性行为及其对疲劳建模的影响

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Mechanistic models for asphalt concrete (AC) can consider many different physical mechanisms.However, as more mechanisms are considered, the complexity increases, and it becomesimportant to balance accuracy and complexity to create a model that can be used by theengineering community. In some cases, the material response is dominated by the effects of onlysome key processes and smearing the effects of the minor ones is acceptable. In other cases,many different processes are important and need to be considered. In this paper, the importanceof modeling the nonlinear viscoelasticity (NLVE) of AC for fatigue response prediction isassessed. Two mechanistic hypotheses are considered for describing this phenomenon; 1) linearviscoelastic with damage and 2) NLVE with damage. The importance of explicitly consideringNLVE effects under fatigue loading is evaluated by using laboratory tests, the simplifiedviscoelastic continuum damage (S-VECD) model, and a NLVE form of the S-VECD model.These two models are characterized and used to simulate and compare AC fatigue responseunder constant and random controlled stress and strain conditions. It is found that while theNLVE based formulation better represents the material response in random loading and suggestsless overall damage accumulation during fatigue, that the two models predict very similaramounts of modulus reduction. The primary conclusion from this study is that since the goal forfatigue assessment is to find the change in modulus over a long period of time, fatigue responsemodeling of AC does not need to explicitly consider NLVE.
机译:沥青混凝土(AC)的力学模型可以考虑许多不同的物理机制。 然而,随着更多机制的考虑,复杂度增加,并且变得 平衡准确性和复杂性以创建可被 工程界。在某些情况下,物质反应主要受以下因素的影响: 可以接受一些关键过程并抹去次要过程的影响。在其他情况下, 许多不同的过程都很重要,需要加以考虑。在本文中,重要性 AC的非线性粘弹性(NLVE)建模以进行疲劳响应预测的方法是 评估。考虑了两个机械假设来描述这种现象。 1)线性 粘弹性带损坏,2)NLVE损坏。明确考虑的重要性 通过使用实验室测试来评估疲劳载荷下的NLVE效应, 粘弹性连续体损伤(S-VECD)模型和NLVE形式的S-VECD模型。 表征这两个模型并用于模拟和比较AC疲劳响应 在恒定和随机控制的应力和应变条件下。发现,虽然 基于NLVE的配方可以更好地表示随机载荷下的材料响应并建议 疲劳过程中的整体损伤累积更少,这两个模型预测非常相似 模量减少量。这项研究的主要结论是,自从 疲劳评估是寻找长时间内模量的变化,疲劳响应 AC的建模不需要明确考虑NLVE。

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