A hybrid method of peridynamic differential operator-based Eulerian particle method–immersed boundary method for fluid–structure interaction

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Haocheng Chang, Airong Chen, Baixue Ge
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引用次数: 0

Abstract

This paper proposes a non-local Eulerian particle method coupling with immersed boundary method (IBM) for fluid–structure interaction (FSI) problems. In the Eulerian particle method, the partial differential forms of governing equations are transformed into integral forms using peridynamic differential operator (PDDO). Symmetric particle distribution is applied in the Eulerian particle method, enhancing the efficiency and stability of the algorithm. By introducing the IBM framework into the original Eulerian particle method, we can obtain a new coupling method, which could solve problems with moving bodies inside fluid and extend the applicability of the Eulerian particle method. The numerical procedure of the proposed hybrid method is detailed. The proposed method is then applied to three benchmark problems: 2D flow around a steady rectangle/moving square and an impulsively started rigid plate inside a rectangular box filled with water. The results capture the flow characteristics of these problems, showing the proposed method's stability and accuracy.

Abstract Image

基于周动力微分算符的欧拉粒子法与沉浸边界法混合求解流固耦合问题
本文提出了一种求解流固耦合问题的非局部欧拉粒子法和浸入边界法。在欧拉粒子法中,利用周动力微分算子将控制方程的偏微分形式转化为积分形式。欧拉粒子法采用对称粒子分布,提高了算法的效率和稳定性。将IBM框架引入到原有的欧拉粒子法中,得到了一种新的耦合方法,可以解决流体内部运动体的问题,扩展了欧拉粒子法的适用性。详细介绍了该混合方法的数值计算过程。然后将该方法应用于三个基准问题:围绕一个稳定矩形/移动正方形的二维流动和一个充满水的矩形框内的脉冲启动刚性板。结果反映了这些问题的流动特征,表明了该方法的稳定性和准确性。
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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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