Transient computational homogenisation of one-dimensional periodic microstructures

IF 3.7 2区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Mechanics Pub Date : 2024-04-17 DOI:10.1007/s00466-024-02478-0
İrem Yağmuroğlu, Zuhal Ozdemir, Harm Askes
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Abstract

This paper presents a methodology where a macroscopic linear material response incorporates microscopic variations, such as transient interactions and micro-inertia effects. This is achieved by implementing the temporal coupling between macro and microstructures, along with the spatial coupling, within a dynamic computational homogenisation framework. In the context of dynamic multiscale modelling, the temporal coupling method offers significant advantages by effectively reducing deviations emerging from micro-inertia effects and transient phenomena. The effectiveness of the developed procedure is validated by a comparison of the macroscopic results with the solutions of direct numerical simulation for a one-dimensional periodic laminate bar with different contrast levels. The homogenised results obtained using the developed procedure indicate that a better prediction of the macroscopic requires a larger Representative Volume Element (RVE) which improves the estimation of multiscale strain energy and a larger time window which improves the estimation of multiscale kinetic energy. The simultaneous increase in the RVE size and the time averaging window yields the best results in predicting the macroscopic response.

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一维周期性微结构的瞬态计算均质化
本文介绍了一种将宏观线性材料响应纳入微观变化(如瞬态相互作用和微惯性效应)的方法。这是通过在动态计算均质化框架内实现宏观和微观结构之间的时间耦合以及空间耦合来实现的。在动态多尺度建模方面,时间耦合方法具有显著优势,可有效减少微惯性效应和瞬态现象造成的偏差。通过对具有不同对比度的一维周期性层压杆的宏观结果与直接数值模拟解的比较,验证了所开发程序的有效性。使用所开发程序获得的同质化结果表明,要更好地预测宏观结果,需要更大的代表体积元素(RVE)和更大的时间窗口,前者可改善多尺度应变能的估算,后者可改善多尺度动能的估算。同时增大 RVE 大小和时间平均窗口可获得预测宏观响应的最佳结果。
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来源期刊
Computational Mechanics
Computational Mechanics 物理-力学
CiteScore
7.80
自引率
12.20%
发文量
122
审稿时长
3.4 months
期刊介绍: The journal reports original research of scholarly value in computational engineering and sciences. It focuses on areas that involve and enrich the application of mechanics, mathematics and numerical methods. It covers new methods and computationally-challenging technologies. Areas covered include method development in solid, fluid mechanics and materials simulations with application to biomechanics and mechanics in medicine, multiphysics, fracture mechanics, multiscale mechanics, particle and meshfree methods. Additionally, manuscripts including simulation and method development of synthesis of material systems are encouraged. Manuscripts reporting results obtained with established methods, unless they involve challenging computations, and manuscripts that report computations using commercial software packages are not encouraged.
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