涉及位移、应力和/或压力的有限应变超弹性中稳定混合模型的有限元近似--替代方案概览

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-06-10 DOI:10.1002/nme.7540
Ramon Codina, Inocencio Castañar, Joan Baiges
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引用次数: 0

摘要

本文提出了混合有限元公式,用位移和应力或压力或两者作为未知数来逼近超弹性问题。这些混合公式要求未知数的有限元空间满足适当的 inf-sup 条件以保证稳定性,或者采用稳定的有限元公式,以便自由选择插值空间。本研究采用了后一种方法,利用变分多尺度概念来推导这些公式。在处理几何问题时,我们同时考虑了无限小应变和有限应变问题,对于后者,我们同时考虑了管理方程的更新拉格朗日和总拉格朗日描述。将不同的几何描述和所采用的混合公式相结合,提供了大量的备选方案,本文将对这些方案进行综述。
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Finite element approximation of stabilized mixed models in finite strain hyperelasticity involving displacements and stresses and/or pressure—An overview of alternatives

This paper presents mixed finite element formulations to approximate the hyperelasticity problem using as unknowns the displacements and either stresses or pressure or both. These mixed formulations require either finite element spaces for the unknowns that satisfy the proper inf-sup conditions to guarantee stability or to employ stabilized finite element formulations that provide freedom for the choice of the interpolating spaces. The latter approach is followed in this work, using the Variational Multiscale concept to derive these formulations. Regarding the tackling of the geometry, we consider both infinitesimal and finite strain problems, considering for the latter both an updated Lagrangian and a total Lagrangian description of the governing equations. The combination of the different geometrical descriptions and the mixed formulations employed provides a good number of alternatives that are all reviewed in this paper.

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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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