A General Bipenalty Formulation for Explicit Contact-Impact Analysis With a Parameter Selection Criterion

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-11-22 DOI:10.1002/nme.7614
Yun-Jae Kwon, Jin-Gyun Kim, Sang Soon Cho, José A. González
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Abstract

A general bipenalty formulation with a parameter selection criterion is proposed for explicit contact-impact finite element analysis. In order to model the contact phenomenon using penalties, it is necessary to introduce an artificial contact stiffness that can increase the maximum natural frequency of the system. When a large stiffness penalty parameter is used, the stability condition forces to reduce the time step size, increasing at the same time the computational demands. A solution to avoid the small time step size requirement and possible instabilities is to include a mass penalty in addition to the stiffness penalty term, using a technique known as the bipenalty method. However, this method presents some other challenges, mainly related to the parameter selection criterion and its final accuracy. In this work, two important improvements for the bipenalty method are presented. (i) An element-type and dimension-independent criterion for the selection of penalty mass and stiffness parameters. (ii) A modified predictor-corrector scheme, specifically designed for the bipenalty method, that improves the accuracy of contact-impact problems. Different 1D, 2D, and 3D contact-impact examples are used to illustrate the stability, applicability to general contact cases, and reduction of the zigzag effect and spurious oscillations exhibited by the proposed methods.

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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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