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

IF 2.9 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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提高精度和计算效率:大变形摩擦接触位移驱动方法的修正公式
本文介绍了有限元框架内刚体和可变形体接触力学的一种改进的位移驱动方法。这种修改提高了效率,解决了原公式的局限性,这导致了一个过定方程组。提出的增强旨在通过形成一个确定的方程组来解决这个问题,同时提供准确的结果。此外,使用高级求解器可以显著减少计算时间,使其非常适合处理大规模问题。通过几个数值算例验证了改进公式的性能,并与初始模型的结果进行了比较。结果表明,改进后的公式满足数值稳定性,并具有二次收敛性。用解析解和惩罚法验证了这些结果。此外,空间收敛性研究证实了算法的准确性和可靠性。
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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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