Efficient high-order radial basis-function-based differential quadrature–finite volume method for incompressible flows on unstructured grids

Y. Y. Liu, L. M. Yang, C. Shu, and H. W. Zhang
Phys. Rev. E 104, 045312 – Published 26 October 2021

Abstract

This paper presents an efficient high-order radial basis-function-based differential quadrature–finite volume method for incompressible flows on unstructured grids. In this method, a high-order polynomial based on the Taylor series expansion is applied within each control cell to approximate the solution. The derivatives in the Taylor series expansion are approximated by the mesh-free radial basis-function-based differential quadrature method. The recently proposed lattice Boltzmann flux solver is applied to simultaneously evaluate the inviscid and viscous fluxes at the cell interface by the local solution of the lattice Boltzmann equation. In the present high-order method, a premultiplied coefficient matrix appears in the time-dependent term, reflecting the implicit nature. The implicit time-marching techniques, i.e., the lower-upper symmetric Gauss-Seidel and the explicit first stage, singly diagonally implicit Runge-Kutta schemes, are incorporated to efficiently solve the resultant ordinary differential equations. Several numerical examples are tested to validate the accuracy, efficiency, and robustness of the present method on unstructured grids. Compared with the k-exact method, the present method enjoys higher accuracy and better computational efficiency.

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  • Received 3 July 2021
  • Accepted 13 October 2021

DOI:https://doi.org/10.1103/PhysRevE.104.045312

©2021 American Physical Society

Physics Subject Headings (PhySH)

Physics Education ResearchNonlinear DynamicsFluid DynamicsStatistical Physics & ThermodynamicsGeneral Physics

Authors & Affiliations

Y. Y. Liu1, L. M. Yang2, C. Shu1,*, and H. W. Zhang1

  • 1Department of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260
  • 2Department of Aerodynamics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Yudao Street, Nanjing 210016, Jiangsu, China

  • *mpeshuc@nus.edu.sg

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Vol. 104, Iss. 4 — October 2021

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