An Extended B-Spline-Based Material Point Method for Contact Problems

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Emmanouil G. Kakouris, Manolis N. Chatzis, Savvas Triantafyllou
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Abstract

A novel Material Point Method (MPM) is introduced for addressing contact problems. In contrast to the standard multi-velocity field approach, this method employs a penalty method to evaluate contact forces at the discretised boundaries of their respective physical domains. This enhances simulation fidelity by accurately considering the deformability of the contact surface and preventing fictitious gaps between bodies in contact. Additionally, the method utilises the Extended B-Splines (EBSs) domain approximation, providing two key advantages. First, EBSs robustly mitigate grid cell-crossing errors by offering continuous gradients of the basis functions on the interface between adjacent grid cells. Second, numerical integration errors are minimised, even with small physical domains in occupied grid cells. The proposed method's robustness and accuracy are evaluated through benchmarks, including comparisons with analytical solutions, other state-of-the-art MPM-based contact algorithms, and experimental observations from the literature. Notably, the method demonstrates effective mitigation of stress errors inherent in contact simulations.

Abstract Image

基于扩展b样条的接触问题材料点法
提出了一种新的材料点法(MPM)来求解接触问题。与标准的多速度场方法相比,该方法采用惩罚法来计算各自物理域离散边界处的接触力。通过准确地考虑接触面的可变形性和防止接触体之间的虚拟间隙,提高了仿真的保真度。此外,该方法利用扩展b样条(EBSs)域近似,提供两个关键优势。首先,EBSs通过在相邻网格单元之间的界面上提供基函数的连续梯度来鲁棒地减轻网格单元交叉误差。其次,数值积分误差被最小化,即使在占用的网格单元中有很小的物理域。该方法的稳健性和准确性通过基准进行评估,包括与分析解决方案、其他最先进的基于mpm的接触算法和文献中的实验观察进行比较。值得注意的是,该方法有效地缓解了接触模拟中固有的应力误差。
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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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