Super resolution generative adversarial network for velocity fields in Large Eddy Simulations
Resumen:
This article presents an approach for generating synthetic velocity fields in Large Eddy Simulations. This is a relevant problem, considering the high computational effort required to simulate turbulent flows with fine resolution. The proposed approach applies a Generative Adversarial Network, considering relevant information about horizontal slices of turbulent velocity fields. The approach is evaluated on a realworld case study: augmenting the resolution of horizontal velocity fields downstream of a wind turbine. The main results indicate that the proposed approach is able to generate high resolution images of horizontal velocity fields given a low resolution counterpart, without the need for explicitly performing computationally expensive Large Eddy Simulations.
| 2022 | |
| Fondo sectorial de investigación a partir de datos, ANII (convocatoria 2018) | |
|
Campo de velocidad de viento Superresolución Large Eddy Simulation Generative Adversarial Network |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
|
http://icsc-cities.com/
https://hdl.handle.net/20.500.12008/35395 |
|
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1877554813839867904 |
|---|---|
| author | Bove, Maximiliano |
| author2 | Nesmachnow, Sergio Draper, Martín |
| author2_role | author author |
| author_facet | Bove, Maximiliano Nesmachnow, Sergio Draper, Martín |
| author_role | author |
| bitstream.checksum.fl_str_mv | 6429389a7df7277b72b7924fdc7d47a9 a006180e3f5b2ad0b88185d14284c0e0 36c32e9c6da50e6d55578c16944ef7f6 1996b8461bc290aef6a27d78c67b6b52 |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://localhost:8080/xmlui/bitstream/20.500.12008/35395/4/license.txt http://localhost:8080/xmlui/bitstream/20.500.12008/35395/1/license_url http://localhost:8080/xmlui/bitstream/20.500.12008/35395/2/license_text http://localhost:8080/xmlui/bitstream/20.500.12008/35395/3/license_rdf |
| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Bove Maximiliano, Universidad de la República (Uruguay). Facultad de Ingeniería. Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingeniería. Draper Martín, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Bove, Maximiliano Nesmachnow, Sergio Draper, Martín |
| dc.date.accessioned.none.fl_str_mv | 2022-12-26T12:41:27Z |
| dc.date.available.none.fl_str_mv | 2022-12-26T12:41:27Z |
| dc.date.issued.none.fl_str_mv | 2023 |
| dc.description.abstract.none.fl_txt_mv | This article presents an approach for generating synthetic velocity fields in Large Eddy Simulations. This is a relevant problem, considering the high computational effort required to simulate turbulent flows with fine resolution. The proposed approach applies a Generative Adversarial Network, considering relevant information about horizontal slices of turbulent velocity fields. The approach is evaluated on a realworld case study: augmenting the resolution of horizontal velocity fields downstream of a wind turbine. The main results indicate that the proposed approach is able to generate high resolution images of horizontal velocity fields given a low resolution counterpart, without the need for explicitly performing computationally expensive Large Eddy Simulations. |
| dc.description.es.fl_txt_mv | Título del proyecto : Desarrollo de métodos computacionales de fidelidad múltiple e inteligencia artificial para el modelado del campo de velocidad de vientos en parques eólicos Artículo presentado en el V Congreso Iberoamericano de Ciudades Inteligentes (ICSC-CITIES 2022), Cuenca, Ecuador, 28–30 nov 2022, publicado en la serie Communications in Computer and Information Science (CCIS) de Springer Documento de momento no disponible a texto completo |
| dc.description.sponsorship.none.fl_txt_mv | Fondo sectorial de investigación a partir de datos, ANII (convocatoria 2018) |
| dc.format.extent.es.fl_str_mv | 15 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Bove, M., Nesmachnow, S. y Draper, M. "Super resolution generative adversarial network for velocity fields in Large Eddy Simulations". Communications in Computer and Information Science (CCIS). [en línea]. 2023, vol. 1706, pp. 60-74. |
| dc.identifier.eissn.none.fl_str_mv | 1865-0937 |
| dc.identifier.issn.none.fl_str_mv | 1865-0929 |
| dc.identifier.uri.none.fl_str_mv | http://icsc-cities.com/ https://hdl.handle.net/20.500.12008/35395 |
| dc.language.iso.none.fl_str_mv | en es eng spa |
| dc.publisher.es.fl_str_mv | Springer |
| dc.relation.none.fl_str_mv | Communications in Computer and Information Science (CCIS, volume 1706), 2023, pp. 60-74. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Campo de velocidad de viento Superresolución Large Eddy Simulation Generative Adversarial Network |
| dc.title.none.fl_str_mv | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Título del proyecto : Desarrollo de métodos computacionales de fidelidad múltiple e inteligencia artificial para el modelado del campo de velocidad de vientos en parques eólicos |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_e434fc84a3ecafec1fa33f74969ca261 |
| identifier_str_mv | Bove, M., Nesmachnow, S. y Draper, M. "Super resolution generative adversarial network for velocity fields in Large Eddy Simulations". Communications in Computer and Information Science (CCIS). [en línea]. 2023, vol. 1706, pp. 60-74. 1865-0929 1865-0937 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng spa |
| language_invalid_str_mv | en es |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/35395 |
| publishDate | 2022 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Bove Maximiliano, Universidad de la República (Uruguay). Facultad de Ingeniería.Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingeniería.Draper Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.2022-12-26T12:41:27Z2022-12-26T12:41:27Z2023Bove, M., Nesmachnow, S. y Draper, M. "Super resolution generative adversarial network for velocity fields in Large Eddy Simulations". Communications in Computer and Information Science (CCIS). [en línea]. 2023, vol. 1706, pp. 60-74.1865-0929http://icsc-cities.com/https://hdl.handle.net/20.500.12008/353951865-0937Título del proyecto : Desarrollo de métodos computacionales de fidelidad múltiple e inteligencia artificial para el modelado del campo de velocidad de vientos en parques eólicosArtículo presentado en el V Congreso Iberoamericano de Ciudades Inteligentes (ICSC-CITIES 2022), Cuenca, Ecuador, 28–30 nov 2022, publicado en la serie Communications in Computer and Information Science (CCIS) de SpringerDocumento de momento no disponible a texto completoThis article presents an approach for generating synthetic velocity fields in Large Eddy Simulations. This is a relevant problem, considering the high computational effort required to simulate turbulent flows with fine resolution. The proposed approach applies a Generative Adversarial Network, considering relevant information about horizontal slices of turbulent velocity fields. The approach is evaluated on a realworld case study: augmenting the resolution of horizontal velocity fields downstream of a wind turbine. The main results indicate that the proposed approach is able to generate high resolution images of horizontal velocity fields given a low resolution counterpart, without the need for explicitly performing computationally expensive Large Eddy Simulations.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2022-12-22T20:27:51Z No. of bitstreams: 1 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2022-12-23T14:35:27Z (GMT) No. of bitstreams: 1 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-12-26T12:41:27Z (GMT). No. of bitstreams: 1 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) Previous issue date: 2023Fondo sectorial de investigación a partir de datos, ANII (convocatoria 2018)15 p.application/pdfenesengspaSpringerCommunications in Computer and Information Science (CCIS, volume 1706), 2023, pp. 60-74.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Campo de velocidad de vientoSuperresoluciónLarge Eddy SimulationGenerative Adversarial NetworkSuper resolution generative adversarial network for velocity fields in Large Eddy SimulationsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBove, MaximilianoNesmachnow, SergioDraper, MartínLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/35395/4/license.txt6429389a7df7277b72b7924fdc7d47a9MD54CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/35395/1/license_urla006180e3f5b2ad0b88185d14284c0e0MD51license_textlicense_texttext/html; charset=utf-838616http://localhost:8080/xmlui/bitstream/20.500.12008/35395/2/license_text36c32e9c6da50e6d55578c16944ef7f6MD52license_rdflicense_rdfapplication/rdf+xml; charset=utf-823149http://localhost:8080/xmlui/bitstream/20.500.12008/35395/3/license_rdf1996b8461bc290aef6a27d78c67b6b52MD5320.500.12008/353952022-12-26 09:41:27.804oai:colibri.udelar.edu.uy:20.500.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Institucionalhttps://www.colibri.udelar.edu.uyUniversidadhttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestkarina.camps@seciu.edu.uyUruguayopendoar:47712022-12-26T12:41:27COLIBRI - Universidad de la Repúblicafalse |
| spellingShingle | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations Bove, Maximiliano Campo de velocidad de viento Superresolución Large Eddy Simulation Generative Adversarial Network |
| status_str | publishedVersion |
| title | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| title_full | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| title_fullStr | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| title_full_unstemmed | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| title_short | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| title_sort | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations |
| topic | Campo de velocidad de viento Superresolución Large Eddy Simulation Generative Adversarial Network |
| url | http://icsc-cities.com/ https://hdl.handle.net/20.500.12008/35395 |
