Time Homogenization: Tire Overruns Skip Method for Thermo-Mechanical Analysis of Long-Term Pavement Performance Under Repeated Traffic Loads

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Ahmad Chihadeh, Michael Kaliske
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引用次数: 0

Abstract

The long-term performance of pavement structures is influenced by the combined effects of repeated traffic loads and environmental conditions, such as temperature variations. Traditional numerical approaches face significant challenges in simulating the decades-long lifespan of pavements due to the vast disparity between the time scales of individual loading events and the overall lifespan. This paper presents a novel framework for the thermo-mechanical analysis of pavement structures, based on a time homogenization technique to efficiently predict long-term performance. An Arbitrary Lagrangian-Eulerian (ALE) formulation is employed to simulate the mechanical response of pavements to consecutive tire overruns, while a thermo-mechanical material model accounts for the effects of temperature variations. A key innovation is the treatment of history variables (HVs). The framework incorporates both spatial and temporal mapping of HVs, enabling the extrapolation of material behavior when the evolution rate of HVs stabilizes. This allows for the skipping of computationally expensive tire overruns, significantly reducing simulation time without compromising accuracy. Numerical examples demonstrate the framework's ability to predict the long-term response of pavement structures under realistic traffic and thermal conditions.

Abstract Image

时间均匀化:重复交通荷载下长期路面性能热-力学分析的轮胎超限跳跃法
路面结构的长期性能受到反复的交通荷载和环境条件(如温度变化)的综合影响。由于单个荷载事件的时间尺度与整体寿命之间的巨大差异,传统的数值方法在模拟路面数十年寿命方面面临着巨大的挑战。本文提出了一种基于时间均匀化技术的路面结构热力学分析新框架,以有效地预测路面结构的长期性能。采用任意拉格朗日-欧拉(ALE)公式来模拟轮胎连续超限时路面的力学响应,而热-力学材料模型则考虑温度变化的影响。一个关键的创新是对历史变量(HVs)的处理。该框架结合了hv的空间和时间映射,当hv的演化速率稳定时,可以推断材料的行为。这允许跳过计算昂贵的轮胎溢出,在不影响准确性的情况下显着减少模拟时间。数值算例表明,该框架能够预测路面结构在实际交通和热条件下的长期响应。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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