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
Birincil Dil | İngilizce |
---|---|
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 30 Eylül 2020 |
Gönderilme Tarihi | 29 Nisan 2020 |
Kabul Tarihi | 2 Temmuz 2020 |
Yayımlandığı Sayı | Yıl 2020 Cilt: 4 Sayı: 3 |
International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey