Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saumitra Joshi"'
Autor:
David Huergo, Laura Alonso, Saumitra Joshi, Adrian Juanicotena, Gonzalo Rubio, Esteban Ferrer
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102949- (2024)
We explore a reinforcement learning strategy to automate and accelerate h/p-multigrid methods in high-order solvers. Multigrid methods are very efficient but require fine-tuning of numerical parameters, such as the number of smoothing sweeps per leve
Externí odkaz:
https://doaj.org/article/c987ec13c4374fc8b9ef3c258b049202
Autor:
Aurelio Hurtado-de-Mendoza, Jiaqing Kou, Saumitra Joshi, Kunal Puri, Charles Hirsch, Esteban Ferrer
Publikováno v:
Journal of Computational Physics
We present a numerical analysis of linear multigrid operators for the high-order Flux Reconstruction method. The non-modal analysis is used to assess the short-term numerical dissipation in the context of 1D and 2D linear convection-diffusion. The ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823c7a75e117f5c383e53424fd5ffb02
Publikováno v:
Journal of Computational Physics
This paper presents eigensolution and non-modal analyses for immersed boundary methods (IBMs) based on volume penalization for the linear advection equation. This approach is used to analyze the behavior of flux reconstruction (FR) discretization, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33cafd954b8a1a69aa10de4ea7f39e4e
Autor:
Charles Hirsch, Saumitra Joshi, Kunal Puri, Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Esteban Ferrer
Publikováno v:
WCCM-ECCOMAS2020
High-order (HO) methods are of concerted academic and industrial interest in recent years due to their improved accuracy and their capability to deal with complex geometries [1]. Of particular note is the flux reconstruction method [2], which unifies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c291fe2121896f7b493024ad17a82d9f
https://www.scipedia.com/public/Joshi_et_al_2021a
https://www.scipedia.com/public/Joshi_et_al_2021a
Autor:
Saumitra Joshi, Aurelio Hurtado-de-Mendoza, Kunal Puri, Jiaqing Kou, Esteban Ferrer, Charles Hirsch
In the last decade, there has been a lot of interest in developing high-order methods as viable option for unsteady scale-resolving-simulations which are increasingly important in the industrial design process. High-order methods offer the advantage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c34bc934765a2948b0f607fac8ccffa7
Autor:
Saumitra Joshi, Esteban Ferrer, Aurelio Hurtado-de-Mendoza, Charles Hirsch, Kunal Puri, Jiaqing Kou
Publikováno v:
WCCM-ECCOMAS2020
14th WCCM-ECCOMAS Congress
14th WCCM-ECCOMAS Congress
In the last decade, high-order methods for Computational Fluid Dynamics (CFD) are becoming attractive for unsteady scale-resolving-simulations in industrial CFD applications, due to their advantages of low numerical dissipation, high efficiency on mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0294f22c0ed128425cfc14e91e36ea2
Autor:
'Saumitra Joshi
Publikováno v:
Jiaqing Kou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::b90d987b64ac1859118e098e94e7e82f