This report presents a method with high spatial and temporal accuracy for estimating solutions of Navier-Stokes equations at high Reynolds number. It employs Crank-Nicolson time discretization along with the zeroth-order ap-proximate deconvolution model of turbulence to regularize the flow prob-lem; solves a deviation of the Navier Stokes equation instead. Both theoreti-cal and computational findings of this report illustrate that the model pro-duces a high order of accuracy and stability. Furthermore, measurements of the drag and lift coefficients of a benchmark problem verify the potential of the model in this kind of computations.
Approximate Deconvolution Crank-Nicholson Stability Accuracy Turbulence Models Space Filter
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | September 30, 2020 |
Submission Date | April 29, 2020 |
Acceptance Date | July 2, 2020 |
Published in Issue | Year 2020 |
International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey