Enhanced Accuracy and Computational Efficiency: A Modified Formulation of a Displacement-Driven Approach for Large Deformation Frictional Contact

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2025-01-06 DOI:10.1002/nme.7659
Diah Puspita Rahmi, Robert Fleischhauer, Michael Kaliske
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Abstract

This paper introduces a modified displacement-driven approach for contact mechanics between rigid and deformable bodies within the finite element framework. This modification enhances efficiency, addressing the limitations of the original formulation, which resulted in an overdetermined system of equations. The proposed enhancement aims to resolve this issue by forming a determined system of equations while providing accurate results. Additionally, using an advanced solver significantly reduces computation time, making it well-suited for handling large-scale problems. The performance of the enhanced formulation is demonstrated by several numerical examples and compared to the results from the initial model. The results show that the enhanced formulation satisfies numerical stability and exhibits quadratic convergence behavior. These results are validated using both an analytical solution and a penalty method. Furthermore, a spatial convergence study confirms the accuracy and reliability of the algorithms.

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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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