用于模拟非结构网格上二维和三维不可压缩流动的高阶广义微分正交元素法

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Yaguang Liu , Chang Shu , Peng Yu , Yangyang Liu , Hua Zhang , Chun Lu
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引用次数: 0

摘要

本文提出了一种高阶广义微分正交元法(GDQE),用于模拟非结构网格上的二维(2D)和三维(3D)不可压缩流。在该方法中,计算域被分解为非结构元素。在每个元素中,都应用了高阶广义微分正交(GDQ)离散化。具体来说,GDQ 方法用于以高阶精度逼近每个元素内部的流动变量和通量的偏导数。在不同 GDQ 元素之间的共享界面上,计算共同通量以考虑信息交换,这在本研究中是通过晶格玻尔兹曼通量求解器(LBFS)实现的。由于每个 GDQ 元素的求解仅依赖于自身及其直接相邻元素的信息,因此所开发的方法非常紧凑,自然也适合并行计算。此外,通过选择元素 GDQ 离散化的阶次,可以轻松实现任意精度阶次。研究考虑了具有代表性的不可压缩流动问题,包括二维层流和三维湍流模拟,以评估本方法的精度、效率和鲁棒性。成功的数值模拟,尤其是规模解决三维湍流问题的模拟,证实了本方法的高效和高阶精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high-order generalised differential quadrature element method for simulating 2D and 3D incompressible flows on unstructured meshes

In this paper, a high-order generalised differential quadrature element method (GDQE) is proposed to simulate two-dimensional (2D) and three-dimensional (3D) incompressible flows on unstructured meshes. In this method, the computational domain is decomposed into unstructured elements. In each element, the high-order generalised differential quadrature (GDQ) discretisation is applied. Specifically, the GDQ method is utilised to approximate the partial derivatives of flow variables and fluxes with high-order accuracy inside each element. At the shared interfaces between different GDQ elements, the common flux is computed to account for the information exchange, which is achieved by the lattice Boltzmann flux solver (LBFS) in the present work. Since the solution in each GDQ element solely relies on information from itself and its direct neighbouring element, the developed method is authentically compact, and it is naturally suitable for parallel computing. Furthermore, by selecting the order of elemental GDQ discretisation, arbitrary accuracy orders can be achieved with ease. Representative incompressible flow problems, including 2D laminar flows as well as 3D turbulent simulations, are considered to evaluate the accuracy, efficiency, and robustness of the present method. Successful numerical simulations, especially for scale-resolving 3D turbulent flow problems, confirm that the present method is efficient and high-order accurate.

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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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