A deformation-dependent visualization scheme in the framework of the Material Point Method

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Zhihao Qian, Moubin Liu, Wenhao Shen
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Abstract

Recent advancements in the Material Point Method (MPM) have significantly improved the simulation of fluid–structure interaction (FSI) problems. However, regardless of the significant advantages of FSI simulation that the MPM can offer, further improvements in flow visualization are essential for analyzing a complicated fluid field. This article presents an innovative approach that integrates Lagrangian Coherent Structures (LCS) with both weakly compressible MPM (WCMPM) and incompressible MPM (iMPM) to improve the identification and analysis of flow structures in complicated FSI problems. The MPM excels in tracking material motion and accurately computing deformation gradients, which is a crucial step for the extraction of the LCS. This combination renders the MPM an ideal complement to the LCS technique, facilitating a detailed examination of complex vortex patterns within flow fields. Unlike traditional particle methods such as Smoothed Particle Hydrodynamics, the MPM boasts a distinct advantage in accuracy for calculating the deformation gradients, which can mitigate errors associated with particle shifting techniques as the deformation gradients are calculated based on the velocities on the background grid. The utility of the LCS visualization within the MPM framework is demonstrated through various numerical experiments, which include the analysis of a water–snow interaction problem, a viscous wake generated by an inclined ellipse, models of fish-like swimming, and liquid sloshing with baffles under different conditions. These studies highlight the ability of the method to offer detailed insights into flow dynamics, confirming the superior capability of the MPM in capturing the complex characteristics of LCSs in viscous incompressible flow fields.

Abstract Image

材料点法框架下的变形可视化方案
材料点法(MPM)的最新进展极大地改进了流固耦合(FSI)问题的模拟。然而,尽管 MPM 在 FSI 模拟方面具有显著优势,但进一步改进流动可视化对于分析复杂流体场至关重要。本文介绍了一种将拉格朗日相干结构 (LCS) 与弱可压缩 MPM (WCMPM) 和不可压缩 MPM (iMPM) 相结合的创新方法,以改进复杂 FSI 问题中流动结构的识别和分析。MPM 在跟踪材料运动和精确计算变形梯度方面表现出色,而这正是提取 LCS 的关键步骤。这种组合使 MPM 成为 LCS 技术的理想补充,有助于详细检查流场内的复杂涡流模式。与平滑粒子流体力学等传统粒子方法不同,MPM 在计算变形梯度的精度方面具有明显优势,由于变形梯度是根据背景网格上的速度计算的,因此可以减少与粒子移动技术相关的误差。通过各种数值实验,包括分析水雪相互作用问题、倾斜椭圆产生的粘性尾流、鱼类游动模型以及不同条件下带挡板的液体荡流,证明了 LCS 可视化在 MPM 框架内的实用性。这些研究凸显了该方法提供详细流动动力学见解的能力,证实了 MPM 在捕捉粘性不可压缩流场中 LCS 复杂特性方面的卓越能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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