Hierarchical radial basis functions method for solving the unsteady Navier–Stokes equations

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Haowei Liu, Zhiyong Liu, Qiuyan Xu, Jiye Yang
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引用次数: 0

Abstract

The Navier–Stokes equations (NSE) are essential equations in fluid dynamics that describe the motion of viscous fluids, accurately reflecting changes in fluid velocity and pressure. It is widely used in the fields of aerodynamics analysis in aerospace, fluid flow simulation and others. We use the hierarchical radial basis functions (H-RBFs) collocation method to simulate NSE in this paper, which is essentially a meshfree method that only requires knowledge of scattered data node information without the need to build the meshgrid. Then, the trial space of H-RBFs is constructed with the help of nested sets of points and scaling the support radii of compactly supported radial basis functions. Meanwhile, the numerical solution is found within the trial space to approximate the model’s solution. Numerical tests demonstrate that the method proposed in this paper achieves high accuracy in both regular and irregular domains. Compared to compactly supported radial basis functions collocation method, H-RBFs collocation method exhibits smaller errors, particularly when the collocation points become dense. Finally, a classical experiment above flow around the cylinder is presented, demonstrating that H-RBFs collocation method can effectively simulate the formation of vortex streets.
求解非定常Navier-Stokes方程的分层径向基函数法
Navier-Stokes方程(NSE)是流体动力学中描述粘性流体运动的基本方程,它准确地反映了流体速度和压力的变化。它广泛应用于航空航天空气动力学分析、流体流动模拟等领域。本文采用分层径向基函数(hierarchical radial basis functions, h - rbf)配置方法模拟NSE,该方法本质上是一种无网格方法,只需要了解分散的数据节点信息,而不需要建立网格。然后,利用点的嵌套集和紧支撑径向基函数的支持半径尺度,构造h - rbf的试验空间;同时,在试验空间内寻找数值解来近似模型的解。数值试验表明,该方法在规则域和不规则域均具有较高的精度。与紧支持径向基函数配置方法相比,h - rbf配置方法的误差更小,特别是当配置点变得更密集时。最后,给出了一个经典的圆柱体上绕流实验,证明了h - rbf配置方法可以有效地模拟涡街的形成。
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
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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