Publicação
Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders
| Resumo: | 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. |
|---|---|
| Autores principais: | Ribau, Ângela M. |
| Outros Autores: | Gonçalves, Nelson D.; Ferrás, Luís Jorge Lima; Afonso, Alexandre M. |
| Assunto: | Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439518991253504 |
|---|---|
| author | Ribau, Ângela M. |
| author2 | Gonçalves, Nelson D. Ferrás, Luís Jorge Lima Afonso, Alexandre M. |
| author2_role | author author author |
| author_facet | Ribau, Ângela M. Gonçalves, Nelson D. Ferrás, Luís Jorge Lima Afonso, Alexandre M. |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ribau, Ângela M.\"},{\"Person.name\":\"Gonçalves, Nelson D.\"},{\"Person.name\":\"Ferrás, Luís Jorge Lima\"},{\"Person.name\":\"Afonso, Alexandre M.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Ribau, Ângela M. Gonçalves, Nelson D. Ferrás, Luís Jorge Lima Afonso, Alexandre M. |
| datacite.date.Accepted.fl_str_mv | 2021-10-25T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-01-07T09:17:37Z |
| datacite.date.embargoed.fl_str_mv | 2022-01-07T09:17:37Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| datacite.titles.title.fl_str_mv | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Ribau, Ângela M. Gonçalves, Nelson D. Ferrás, Luís Jorge Lima Afonso, Alexandre M. |
| dc.date.Accepted.fl_str_mv | 2021-10-25T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-01-07T09:17:37Z |
| dc.date.embargoed.fl_str_mv | 2022-01-07T09:17:37Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/75285 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| dc.title.fl_str_mv | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/d6f3d9ea-822b-4b10-9f35-8370ede1bfda/download |
| id | rum_ec06b919c5a5dd4f601bef7aa2cc86ff |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/75285 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/75285 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Ribau, Ângela M. Gonçalves, Nelson D. Ferrás, Luís Jorge Lima Afonso, Alexandre M. |
| publishDate | 2021 |
| publisher.none.fl_str_mv | MDPI |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engMDPIporNumerical 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.application/pdfporFlow structures identification through proper orthogonal decomposition: The flow around two distinct cylindersRibau, Ângela M.Gonçalves, Nelson D.Ferrás, Luís Jorge LimaAfonso, Alexandre M.HostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf2311-5521DOIIsPartOf10.3390/fluids61103842022-01-07T09:17:37Z2021-10-252021-10-25T00:00:00ZHandlehttps://hdl.handle.net/1822/75285http://purl.org/coar/access_right/c_abf2open accessProper orthogonal decomposition (POD)Navier–Stokes equationsComputational fluid dynamics (CFD)Von Kármán vortex streethttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Ciências Naturais::Matemáticashttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Ciências Naturais::Ciências da Computação e da Informaçãohttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Engenharia e Tecnologia::Engenharia Mecânicahttps://sdgs.un.org/goalsSustainable Development Goals (SDG)Indústria, inovação e infraestruturas9351359 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/d6f3d9ea-822b-4b10-9f35-8370ede1bfda/download |
| spellingShingle | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders Ribau, Ângela M. Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| status | SINGLETON |
| subject.fl_str_mv | Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street |
| subject.other.fl_str_mv | Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| title | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| title_full | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| title_fullStr | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| title_full_unstemmed | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| title_short | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| title_sort | Flow structures identification through proper orthogonal decomposition: The flow around two distinct cylinders |
| topic | Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| topic_facet | Proper orthogonal decomposition (POD) Navier–Stokes equations Computational fluid dynamics (CFD) Von Kármán vortex street Ciências Naturais::Matemáticas Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Mecânica Indústria, inovação e infraestruturas |
| url | https://hdl.handle.net/1822/75285 |
| visible | 1 |