Finite Strain Analysis With the Dual Mesh Control Domain Method

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2025-01-03 DOI:10.1002/nme.7654
P. Areias, A. R. Srinivasa, F. Moleiro, J. N. Reddy
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Abstract

The Dual Mesh Control Domain Method (DMCDM), developed by Reddy (J.N. Reddy. “A dual mesh finite domain method for the numerical solution of differential equations.” Int J Comput Methods Eng Sci, 20(3):212–228, 2019), is an alternative to the classical weak-form Galerkin finite element method. An advantage of DMCDM is that it combines the interpolation capabilities of the finite element method with the direct use of an integral form of the balance laws. Furthermore, it is easily extensible to mixed formulations, resulting in simpler than traditional finite element formulations. In this work, we extend DMCDM to the fully finite strain case with plasticity. We introduce a new discretization algorithm for finite strain problems, which includes a mean-dilatation technique to solve the volumetric locking problem. Assessment is supported by five linear and five finite strain benchmark problems, one of them being 3D. Finite strain solutions were found to be stable, exempt from hourglassing, and also locking-free. Results are found to be competitive with classical F-bar and B-bar elements, with a simpler formulation.

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双网格控制域法的有限应变分析
双网格控制域方法(Dual Mesh Control Domain Method, DMCDM)是由Reddy (J.N. Reddy。微分方程数值解的双网格有限域法。[J] .计算方法工程学报,20(3):212 - 228,2019),是经典弱形式Galerkin有限元法的替代方法。DMCDM的一个优点是它结合了有限元法的插补能力和直接使用平衡律的积分形式。此外,它很容易扩展到混合公式,从而比传统的有限元公式更简单。在这项工作中,我们将DMCDM扩展到具有塑性的全有限应变情况。我们提出了一种新的有限应变问题离散化算法,其中包括求解体积锁定问题的平均膨胀技术。评估由五个线性和五个有限应变基准问题支持,其中一个是三维的。发现有限应变解是稳定的,免于沙漏,也无锁。结果发现,与经典的f -棒和b -棒元素竞争,具有更简单的公式。
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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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