A high-order generalised differential quadrature element method for simulating 2D and 3D incompressible flows on unstructured meshes

被引:0
|
作者
Liu, Yaguang [1 ,3 ,4 ]
Shu, Chang [1 ]
Yu, Peng [2 ,3 ,4 ]
Liu, Yangyang [1 ,5 ]
Zhang, Hua [1 ,4 ]
Lu, Chun [4 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, 10 Kent Ridge Crescent, Singapore 119260, Singapore
[2] Southern Univ Sci & Technol, Guangdong Prov Key Lab Turbulence Res & Applicat, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
[3] Southern Univ Sci & Technol, Ctr Complex Flows & Soft Matter Res, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
[4] Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
[5] Cambridge Ctr Adv Res & Educ Singapore CARES, CREATE Tower,1 Create Way, Singapore 138602, Singapore
基金
中国国家自然科学基金;
关键词
Generalised differential quadrature; Lattice Boltzmann flux solver; Incompressible flows; BOLTZMANN FLUX SOLVER; DISCONTINUOUS GALERKIN METHODS; PROJECTION METHODS; CONVECTION; STABILITY; STEADY; CAVITY;
D O I
10.1016/j.camwa.2024.08.027
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:230 / 247
页数:18
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