IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Yasemin von Hoegen, Rainer Niekamp, Jörg Schröder
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引用次数: 0

摘要

在本文中,我们介绍了一种用于微均质材料非线性有限元计算的自适应模型阶次缩减技术。所提出的基于投影的方法会在迭代过程中和每个载荷步骤结束时对缩减后的基础进行更新。在模拟的所有阶段都实现了收敛,并确保了基向量的最佳选择。在一个学术二维单元实例中,介绍了一种选择基的新技术--递归正交分解法,并与现有技术--比较正交分解法进行了比较。实际二维和三维微结构的数值示例揭示了自适应技术在工业应用中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Non-Intrusive, Online Reduced Order Method for Non-Linear Micro-Heterogeneous Materials

A Non-Intrusive, Online Reduced Order Method for Non-Linear Micro-Heterogeneous Materials

In this contribution we present an adaptive model order reduction technique for non-linear finite element computations of micro-heterogeneous materials. The presented projection-based method performs updates of the reduced basis during the iterative process and at the end of each load step. Convergence is achieved in all stages of the simulation and the best choice of basis vectors is assured. A novel technique for the choice of basis, the recursive Proper Orthogonal Decomposition, is introduced and compared to an existing technique, the comparative Proper Orthogonal Decomposition, in an academic two-dimensional unit cell example. Numerical examples of real two- and three-dimensional microstructures unveil the performance of the adaptive technique for industrial applications.

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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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