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On the application of the GS4-1 framework for fluid dynamics and adaptive time-stepping via a universal A-posteriori error estimator

Yazhou Wang (Department of Electrical Engineering, Tsinghua University, Beijing, China)
Ningning Xie (Institute of Science and Technology, China Three Gorges Corporation, Beijing, China)
Likun Yin (Institute of Science and Technology, China Three Gorges Corporation, Beijing, China)
Tong Zhang (Department of Electrical Engineering, Tsinghua University, Beijing, China and Qinghai Key Lab of Effcient Utilization of Clean Energy (Tus-Institute for Renewable Energy), Qinghai University, Xining, China)
Xuelin Zhang (Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China)
Shengwei Mei (Department of Electrical Engineering, Tsinghua University, Beijing, China and Qinghai Key Lab of Effcient Utilization of Clean Energy (Tus-Institute for Renewable Energy), Qinghai University, Xining, Qinghai, China)
Xiaodai Xue (Department of Electrical Engineering, Tsinghua University, Beijing, China)
Kumar Tamma (Department of Mechanical Engineering, University of Minnesota-Twin Cities, Minneapolis, Minnesota, USA)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 25 February 2022

Issue publication date: 16 August 2022

149

Abstract

Purpose

The purpose of this paper is to describe a novel universal error estimator and the adaptive time-stepping process in the generalized single-step single-solve (GS4-1) computational framework, applied for the fluid dynamics with illustrations to incompressible Navier–Stokes equations.

Design/methodology/approach

The proposed error estimator is universal and versatile that it works for the entire subsets of the GS4-1 framework, encompassing the nondissipative Crank–Nicolson method, the most dissipative backward differential formula and anything in between. It is new and novel that the cumbersome design work of error estimation for specific time integration algorithms can be avoided. Regarding the numerical implementation, the local error estimation has a compact representation that it is determined by the time derivative variables at four successive time levels and only involves vector operations, which is simple for numerical implementation. Additionally, the adaptive time-stepping is further illustrated by the proposed error estimator and is used to solve the benchmark problems of lid-driven cavity and flow past a cylinder.

Findings

The proposed computational procedure is capable of eliminating the nonphysical oscillations in GS4-1(1,1)/Crank–Nicolson method; being CPU-efficient in both dissipative and nondissipative schemes with better solution accuracy; and detecting the complex physics and hence selecting a suitable time step according to the user-defined error threshold.

Originality/value

To the best of the authors’ knowledge, for the first time, this study applies the general purpose GS4-1 family of time integration algorithms for transient simulations of incompressible Navier–Stokes equations in fluid dynamics with constant and adaptive time steps via a novel and universal error estimator. The proposed computational framework is simple for numerical implementation and the time step selection based on the proposed error estimation is efficient, benefiting to the computational expense for transient simulations.

Keywords

Acknowledgements

This work is supported by The Science and Technology Project of China Three Gorges Corporation (Grant No. 202103404) and The Major Science and Technology Project of Inner Mongolia Autonomous Region (Grant No. 2021ZD0032). Acknowledgement is also due to Professor Tamma’s computational mechanics research lab at the University of Minnesota.

Citation

Wang, Y., Xie, N., Yin, L., Zhang, T., Zhang, X., Mei, S., Xue, X. and Tamma, K. (2022), "On the application of the GS4-1 framework for fluid dynamics and adaptive time-stepping via a universal A-posteriori error estimator", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 32 No. 10, pp. 3306-3327. https://doi.org/10.1108/HFF-11-2021-0738

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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