利用离散场共享自由度的高效应变梯度混合元素

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Stefanos-Aldo Papanicolopulos
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引用次数: 0

摘要

应变梯度模型的纯位移有限元计算需要连续插值的元素。为了使用更常见的元素形状函数,人们提出了混合公式。这些混合公式的基础是对位移和某种位移梯度这两个不同的场进行插值,并使用拉格朗日乘法器或惩罚方法来加强这两个场之间的关系。文献中针对此类公式提出的所有要素都使用一组不同的自由度来离散每个场。在这项工作中,我们首次引入了共享自由度,从而产生了一种数值性能明显更好的混合公式。我们描述了如何得出这种新颖的混合公式,介绍了实现这种公式的各个要素,并讨论了结果的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Efficient strain-gradient mixed elements using shared degrees of freedom for the discretised fields

Efficient strain-gradient mixed elements using shared degrees of freedom for the discretised fields

A displacement-only finite-element formulation of strain-gradient models requires elements with C 1 $$ {C}^1 $$ continuous interpolation. Mixed formulations have been proposed to allow the use of more common C 0 $$ {C}^0 $$ element shape functions. These mixed formulations are based on the interpolation of two different fields, displacement and some kind of displacement gradient, with the relation between the two fields enforced using either Lagrange multipliers or penalty methods. All elements proposed in the literature for such formulations use a distinct set of degrees of freedom to discretise each field. In this work, we introduce for the first time shared degrees of freedom, that lead to a mixed formulation with a significantly better numerical performance. We describe how this novel mixed formulation can be derived, present individual elements implementing this, and discuss the significance of the results.

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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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