Flow Structures Identification through Proper Orthogonal Decomposition: The Flow around Two Distinct Cylinders
| Autor: | Luís Jorge Lima Ferrás, Ângela M. Ribau, N. D. Gonçalves, Alexandre M. Afonso |
|---|---|
| Přispěvatelé: | Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Engenharia e Tecnologia::Engenharia Mecânica Base (geometry) von Kármán vortex street 02 engineering and technology Indústria inovação e infraestruturas 01 natural sciences Kármán vortex street Proper orthogonal decomposition (POD) 010305 fluids & plasmas Physics::Fluid Dynamics Navier–Stokes equations 020401 chemical engineering 0103 physical sciences Fluid dynamics Newtonian fluid 0204 chemical engineering Ciências Naturais::Matemáticas Fluid Flow and Transfer Processes QC120-168.85 Science & Technology proper orthogonal decomposition (POD) Mechanical Engineering Ciências Naturais::Ciências da Computação e da Informação Engenharia Mecânica [Engenharia e Tecnologia] Mechanics Condensed Matter Physics computational fluid dynamics (CFD) Vortex Flow (mathematics) Descriptive and experimental mechanics Computational fluid dynamics (CFD) Thermodynamics Von Kármán vortex street Ciências da Computação e da Informação [Ciências Naturais] QC310.15-319 Generator (mathematics) Matemáticas [Ciências Naturais] |
| Zdroj: | Fluids, Vol 6, Iss 384, p 384 (2021) Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP Fluids Volume 6 Issue 11 |
| ISSN: | 2311-5521 |
| Popis: | Numerical simulations of fluid flows can produce a huge amount of data and inadvertently important flow structures can be ignored, if a thorough analysis is not performed. The identification of these flow structures, mainly in transient situations, is a complex task, since such structures change in time and can move along the domain. With the decomposition of the entire data set into smaller sets, important structures present in the main flow and structures with periodic behaviour, like vortices, can be identified. Therefore, through the analysis of the frequency of each of these components and using a smaller number of components, we show that the Proper Orthogonal Decomposition can be used not only to reduce the amount of significant data, but also to obtain a better and global understanding of the flow (through the analysis of specific modes). In this work, the von Kármán vortex street is decomposed into a generator base and analysed through the Proper Orthogonal Decomposition for the 2D flow around a cylinder and the 2D flow around two cylinders with different radii. We consider a Newtonian fluid and two non-Newtonian power-law fluids, with n=0.7 and n=1.3. Grouping specific modes, a reconstruction is made, allowing the identification of complex structures that otherwise would be impossible to identify using simple post-processing of the fluid flow. This research was funded by FCT( Fundacao para a Ciencia e a Tecnologia I.P.), FSE (Fundo Social Europeu), NORTE2020, CEFT (Centro de Estudos de Fenomenos de Transporte) and by FEDER funds through COMPETE2020. Grants: PTDC/EMS-ENE/3362/2014, POCI-01-0145-FEDER-016665, UIDB/00013/2020, UIDP/00013/2020, UIDP/00532/2020, UIDB/00532/2020, SFRH/BD/143950/2019. |
| Databáze: | OpenAIRE |
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