dc.contributor | Bove Maximiliano, Universidad de la República (Uruguay). Facultad de Ingeniería. | |
dc.contributor | Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingeniería. | |
dc.contributor | Draper Martín, Universidad de la República (Uruguay). Facultad de Ingeniería. | |
dc.creator | Bove, Maximiliano | |
dc.creator | Nesmachnow, Sergio | |
dc.creator | Draper, Martín | |
dc.date.accessioned | 2022-12-26T12:41:27Z | |
dc.date.accessioned | 2023-07-13T17:11:27Z | |
dc.date.available | 2022-12-26T12:41:27Z | |
dc.date.available | 2023-07-13T17:11:27Z | |
dc.date.created | 2022-12-26T12:41:27Z | |
dc.date.issued | 2023 | |
dc.identifier | 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 | 1865-0929 | |
dc.identifier | http://icsc-cities.com/ | |
dc.identifier | https://hdl.handle.net/20.500.12008/35395 | |
dc.identifier | 1865-0937 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7423913 | |
dc.description.abstract | 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.language | en | |
dc.language | es | |
dc.publisher | Springer | |
dc.relation | Communications in Computer and Information Science (CCIS, volume 1706), 2023, pp. 60-74. | |
dc.rights | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | |
dc.rights | 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) | |
dc.subject | Campo de velocidad de viento | |
dc.subject | Superresolución | |
dc.subject | Large Eddy Simulation | |
dc.subject | Generative Adversarial Network | |
dc.title | Super resolution generative adversarial network for velocity fields in Large Eddy Simulations | |
dc.type | Artículo | |