An improved natural stabilized nodal integration for locking-related materials in meshfree methods

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-08-02 DOI:10.1002/nme.7584
Huy Anh Nguyen, Satoyuki Tanaka, Tinh Quoc Bui
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Abstract

An improved naturally stabilized nodal integration (NSNI) is presented for resolving displacement locking concerned with highly orthotropic and nearly incompressible materials in the linear setting. It is recognized that the original NSNI is susceptible to the locking when dealing with these types of materials. The proposed method utilizes spectral decomposition to split the elasticity matrix into stiff and nonstiff parts. The terms associated with the stiff modes in the bilinear form are sampled by nodal integration (NI) without stabilization, whereas the other terms are integrated with NSNI. This approach leads to a unified implementation to handle locking in both types of materials. The performance and convergence of the proposed formulation are verified through several two- and three-dimensional numerical examples, illustrating the advantages of the presented method over its standard counterpart.

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无网格法中锁定相关材料的改进型自然稳定节点积分法
本文提出了一种改进的自然稳定节点积分法(NSNI),用于解决线性环境下高度各向同性和几乎不可压缩材料的位移锁定问题。我们认识到,原始的自然稳定节点积分法在处理这些类型的材料时容易受到位移锁定的影响。所提出的方法利用频谱分解将弹性矩阵分为刚性和非刚性部分。在双线性形式中,与刚性模式相关的项通过节点积分(NI)进行采样,无需稳定,而其他项则通过 NSNI 进行积分。通过这种方法,可以对两种材料的锁定进行统一处理。通过几个二维和三维数值示例验证了所提公式的性能和收敛性,说明了所提方法相对于标准方法的优势。
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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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