具有局部共振的异质孔弹性介质的瞬态计算均质化

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-06-14 DOI:10.1002/nme.7505
Renan Liupekevicius, Johannes A. W. van Dommelen, Marc G. D. Geers, Varvara G. Kouznetsova
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引用次数: 0

摘要

提出了一种计算均质化框架,用于求解异质孔弹性介质中线性机制的瞬态波传播,由于微观结构的异质性,这些介质可能会出现局部共振。微观流固耦合问题和宏观流固耦合问题是通过希尔-曼德尔原理的扩展版本来实现的,这导致了微观场的变异一致性平均方案。通过使用包含长波基础和所谓局部共振基础的降阶模型来表达微尺度问题,从而获得有效的宏观构成关系,进而得到均质化材料特性的闭式表达式。由此产生的宏观模型是一个丰富的多孔连续体,其内部变量在宏观尺度上代表了微观尺度的动力学,因此 Biot 模型作为一个特例得到了恢复。数值示例证明了该框架在模拟波穿过多孔层时的有效性。
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Transient computational homogenization of heterogeneous poroelastic media with local resonances

A computational homogenization framework is proposed for solving transient wave propagation in the linear regime in heterogeneous poroelastic media that may exhibit local resonances due to microstructural heterogeneities. The microscale fluid-structure interaction problem and the macroscale are coupled through an extended version of the Hill-Mandel principle, leading to a variationally consistent averaging scheme of the microscale fields. The effective macroscopic constitutive relations are obtained by expressing the microscale problem with a reduced-order model that contains the longwave basis and the so-called local resonance basis, yielding the closed-form expressions for the homogenized material properties. The resulting macroscopic model is an enriched porous continuum with internal variables that represent the microscale dynamics at the macroscale, whereby the Biot model is recovered as a special case. Numerical examples demonstrate the framework's validity in modeling wave transmission through a porous layer.

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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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