ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2012
Quarter: 3
Volume: 4
Number: 3
Pages: 8 - 25
Article Name: WAVELET ANALYSIS APPLICATION FOR THE LOCALIZATION OF STRUCTURES IN THE CALCULATIONS OF GAS-DYNAMIC FIELDS AND FOR THE GRIDS ADAPTATION
Authors: A. Afendikov (Russia), A. Lutsky (Russia), A. Plenkin (Russia)
Address: A. Afendikov
andre@spp.keldysh.ru
Keldysh Institute of Applied Mathematics RAS, Moscow, Russia
 
A. Lutsky
lutsky@kiam.ru
Keldysh Institute of Applied Mathematics RAS, Moscow, Russia
 
A. Plenkin
golden_dragon_84@mail.ru
Keldysh Institute of Applied Mathematics RAS, Moscow, Russia
Abstract: Wavelet based algorithm for detection and classification of gas-dynamic fields singularities is presented. Algorithm does not need fine tune and could be used directly during calculations. Localized structures were singled out with the use of wavelet algorithm from the shock capturing two-dimensional calculations for the inviscid Euler model and Reynolds equations with turbulence model and analyzed. It is demonstrated that in the viscous model with Reynolds's numbers localized structures corresponding to the shock waves in Euler model are found with high accuracy. In the viscous model additional structures corresponding to vortices, to the boundary and mixing layers are found. The results of shock waves localization in the three-dimensional calculation for viscous model are also presented. Efficiency of wavelet based algorithm of singularities localization for calculation adaptation to singularities position is presented.
Language: Russian