A new and efficient meshfree method to solve partial differential equations: Application to three-dimensional transient heat transfer problems

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Daud Ali Abdoh
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引用次数: 0

Abstract

The paper presents the average radial particle method (ARPM), a new mesh-free technique for solving partial differential equations (PDEs). Here, we use the ARPM to solve 3D transient heat transfer problems. ARPM numerically approximates spatial derivatives by discretizing the domain by particles such that each particle is only affected by its direct neighbors. One feature that makes ARPM different is using a representative neighboring particle whose average variable value, like temperature, is used to approximate first and second spatial derivatives. ARPM has several advantages over other numerical methods. It is highly efficient, with a time requirement of only 0.6 µs per particle per step. It makes conducting rapid simulations with half a million particles in one minute possible. It is also distinct from other methods because it does not suffer from boundary or surface effects. Besides, the ARPM application is straightforward and could be easily integrated into software packages. Additionally, ARPM has lower convergence requirements for both time and space. The method's effectiveness is validated through five problems with different configurations and boundary conditions, demonstrating its accuracy and efficiency.
一种新的高效的求解偏微分方程的无网格法:在三维瞬态传热问题中的应用
提出了求解偏微分方程的一种新的无网格求解方法——平均径向质点法。在这里,我们使用ARPM来解决三维瞬态传热问题。ARPM通过粒子离散域来数值逼近空间导数,使得每个粒子只受其直接邻居的影响。使ARPM与众不同的一个特征是使用具有代表性的相邻粒子,其平均变量值(如温度)用于近似第一和第二空间导数。与其他数值方法相比,ARPM有几个优点。它效率很高,每一步每个粒子的时间要求仅为0.6µs。它使得在一分钟内进行50万个粒子的快速模拟成为可能。它也有别于其他方法,因为它不受边界或表面效应的影响。此外,ARPM应用程序很简单,可以很容易地集成到软件包中。此外,ARPM对时间和空间的收敛要求都较低。通过5个具有不同构型和边界条件的问题验证了该方法的有效性,证明了该方法的准确性和有效性。
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 & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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