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引用次数: 0
摘要
出于多种应用原因,例如验证目的和特定计算设置,为单元格分析施加非周期性边界条件可能是必要的。本文讨论的策略是利用基于快速傅立叶变换(FFT)的计算微观力学背后的强大技术--该技术最初是在考虑周期性边界条件的情况下开发的--用于力学中的基本边界条件,以及在旋转交错网格上离散化的情况。旋转交错网格是由 F. Willot 引入社区的,大概是最流行的离散化方法,并被证明等同于欠积分三线性六面体元素。我们利用以前在 Moulinec-Suquet 离散化方面的研究成果,针对小应变问题采用有限应变预处理,并利用特定的离散正弦和余弦变换。我们通过专门的数值实验证明了新方案的计算性能,并将基于位移的方法与基于变形梯度的方法进行了比较。
FFT-based computational micromechanics with Dirichlet boundary conditions on the rotated staggered grid
Imposing nonperiodic boundary conditions for unit cell analyses may be necessary for a number of reasons in applications, for example, for validation purposes and specific computational setups. The work at hand discusses a strategy for utilizing the powerful technology behind fast Fourier transform (FFT)-based computational micromechanics—initially developed with periodic boundary conditions in mind—for essential boundary conditions in mechanics, as well, for the case of the discretization on a rotated staggered grid. Introduced by F. Willot into the community, the rotated staggered grid is presumably the most popular discretization, and was shown to be equivalent to underintegrated trilinear hexahedral elements. We leverage insights from previous work on the Moulinec–Suquet discretization, exploiting a finite-strain preconditioner for small-strain problems and utilize specific discrete sine and cosine transforms. We demonstrate the computational performance of the novel scheme by dedicated numerical experiments and compare displacement-based methods to implementations on the deformation gradient.
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.