Element-free Galerkin analysis of MHD duct flow problems at arbitrary and high Hartmann numbers

IF 8.7 2区 工程技术 Q1 Mathematics
Xiaolin Li, Shuling Li
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引用次数: 0

Abstract

A stabilized element-free Galerkin (EFG) method is proposed in this paper for numerical analysis of the generalized steady MHD duct flow problems at arbitrary and high Hartmann numbers up to \(10^{16}\). Computational formulas of the EFG method for MHD duct flows are derived by using Nitsche’s technique to facilitate the implementation of Dirichlet boundary conditions. The reproducing kernel gradient smoothing integration technique is incorporated into the EFG method to accelerate the solution procedure impaired by Gauss quadrature rules. A stabilized Nitsche-type EFG weak formulation of MHD duct flows is devised to enhance the performance damaged by high Hartmann numbers. Several benchmark MHD duct flow problems are solved to testify the stability and the accuracy of the present EFG method. Numerical results show that the range of the Hartmann number Ha in the present EFG method is \(1\le Ha\le 10^{16}\), which is much larger than that in existing numerical methods.

Abstract Image

对任意和高哈特曼数下的 MHD 管道流动问题进行无元素 Galerkin 分析
本文提出了一种稳定的无元素伽勒金(EFG)方法,用于数值分析任意高哈特曼数(10^{16})下的广义稳定 MHD 管道流问题。通过使用 Nitsche 技术推导出了 MHD 管道流 EFG 方法的计算公式,从而方便了 Dirichlet 边界条件的实施。在 EFG 方法中加入了再现核梯度平滑积分技术,以加速受高斯正交规则影响的求解过程。设计了 MHD 管道流的稳定 Nitsche 型 EFG 弱公式,以提高受高哈特曼数影响的性能。解决了几个基准 MHD 管道流问题,以证明本 EFG 方法的稳定性和准确性。数值结果表明,本EFG方法的哈特曼数Ha范围为(1\le Ha\le 10^{16}\),远大于现有数值方法。
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
Engineering with Computers
Engineering with Computers 工程技术-工程:机械
CiteScore
16.50
自引率
2.30%
发文量
203
审稿时长
9 months
期刊介绍: Engineering with Computers is an international journal dedicated to simulation-based engineering. It features original papers and comprehensive reviews on technologies supporting simulation-based engineering, along with demonstrations of operational simulation-based engineering systems. The journal covers various technical areas such as adaptive simulation techniques, engineering databases, CAD geometry integration, mesh generation, parallel simulation methods, simulation frameworks, user interface technologies, and visualization techniques. It also encompasses a wide range of application areas where engineering technologies are applied, spanning from automotive industry applications to medical device design.
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