An X-FFT Solver for Two-Dimensional Thermal Homogenization Problems

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2025-04-03 DOI:10.1002/nme.70022
Flavia Gehrig, Matti Schneider
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Abstract

We introduce an approach to computational homogenization which unites the accuracy of interface-conforming finite elements (FEs) and the computational efficiency of methods based on the fast Fourier transform (FFT) for two-dimensional thermal conductivity problems. FFT-based computational homogenization methods have been shown to solve multiscale problems in solid mechanics effectively. However, the obtained local solution fields lack accuracy in the vicinity of material interfaces, and simple fixes typically interfere with the numerical efficiency of the solver. In the work at hand, we identify the extended finite element method (X-FEM) with modified absolute enrichment as a suitable candidate for an accurate discretization and design an associated fast Lippmann-Schwinger solver. We implement the concept for two-dimensional thermal conductivity and demonstrate the advantages of the approach with dedicated computational experiments.

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二维热均质化问题的 X-FFT 求解器
我们介绍了一种计算均匀化的方法,该方法将界面符合有限元(FEs)的精度与基于快速傅立叶变换(FFT)的二维导热问题的计算效率结合起来。基于fft的计算均匀化方法已被证明可以有效地解决固体力学中的多尺度问题。然而,得到的局部解场在材料界面附近缺乏精度,简单的修正通常会干扰求解器的数值效率。在手头的工作中,我们确定了带有改进绝对富集的扩展有限元法(X-FEM)作为精确离散化的合适候选,并设计了相关的快速Lippmann-Schwinger求解器。我们实现了二维热导率的概念,并通过专门的计算实验证明了该方法的优点。
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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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