PARTICLE-BASED FLOW VORTICITY ANALYSIS BY USE OF SECOND-GENERATION WAVELETS

Modeling, simulating, and analyzing turbulent flow is a topic of high interest from both a verification and accuracy aspect. This work presents computational methods and experimental measures of turbulent fluid flow modeled with particle-based smoothed particle hydrodynamics (SPH), as well as the us...

Full description

Saved in:
Bibliographic Details
Published inWIT Transactions on Engineering Sciences Vol. 130; p. 51
Main Authors BRUN, ODDNY H, KIDER, JOSEPH T, Wiegand, R Paul
Format Journal Article
LanguageEnglish
Published Southampton W I T Press 03.08.2021
Subjects
Online AccessGet full text
ISSN1746-4471
1743-3533
DOI10.2495/CMEM210051

Cover

Loading…
More Information
Summary:Modeling, simulating, and analyzing turbulent flow is a topic of high interest from both a verification and accuracy aspect. This work presents computational methods and experimental measures of turbulent fluid flow modeled with particle-based smoothed particle hydrodynamics (SPH), as well as the use of second-generation wavelets to analyze the nature of vorticity. Modeling and analyzing vorticity by use of first-generation wavelets for regular grid methods are well presented in literature. We are unaware of any work on this topic for particle-based methods. The difference between regular grid-based and particle-based approaches are due to irregularities introduced by the latter. We found that second-generation wavelets proved to be robust, fast, and reliable. Second-generation wavelets are designed to handle irregular grids and do not rely on a dyadic number of observations, which make them suitable candidates for SPH analysis as opposed to first generation wavelets. The resulting significant discrete wavelet transform (DWT) coefficients are found to be representative of the flow sections that may benefit from additional attention in the simulation model. The robustness of the method allows for fast initial screening of the flow to highlight sections that are of interest for more detailed analysis. Here, robustness refers to the two parameters significance level and grid resolution. Our results are demonstrated using a 2D sloshing tank case.
Bibliography:SourceType-Other Sources-1
ObjectType-Article-1
content type line 63
ObjectType-Feature-2
ISSN:1746-4471
1743-3533
DOI:10.2495/CMEM210051