Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nauleau Florent"'
Publikováno v:
EPJ Web of Conferences, Vol 302, p 03008 (2024)
Understanding physical phenomena implied in the design of a system or in the guarantee of its performances require to run high fidelity simulation codes and to create experimental campaigns at different scales. Thanks to the use of advanced sensors o
Externí odkaz:
https://doaj.org/article/d929ea72f1a0487594eac1453261fbc1
This work presents an approach for the automatic detection of locally turbulent vortices within turbulent 2D flows such as instabilites. First, given a time step of the flow, methods from Topological Data Analysis (TDA) are leveraged to extract the g
Externí odkaz:
http://arxiv.org/abs/2408.12662
Autor:
Nauleau, Florent, Vivodtzev, Fabien, Bridel-Bertomeu, Thibault, Beaugendre, Heloise, Tierny, Julien
This application paper presents a comprehensive experimental evaluation of the suitability of Topological Data Analysis (TDA) for the quantitative comparison of turbulent flows. Specifically, our study documents the usage of the persistence diagram o
Externí odkaz:
http://arxiv.org/abs/2207.14080
Publikováno v:
8th European Congress on Computational Methods in Applied Sciences and Engineering
8th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2022, Oslo, Norway. ⟨10.23967/eccomas.2022.142⟩
ECCOMAS 2022-8th European Congress on Computational Methods in Applied Sciences and Engineering
ECCOMAS 2022-8th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2022, Oslo, Norway. ⟨10.23967/eccomas.2022.142⟩
8th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2022, Oslo, Norway. ⟨10.23967/eccomas.2022.142⟩
ECCOMAS 2022-8th European Congress on Computational Methods in Applied Sciences and Engineering
ECCOMAS 2022-8th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2022, Oslo, Norway. ⟨10.23967/eccomas.2022.142⟩
This paper inscribes itself in the ongoing doctoral work of the first author which aims at adapting the immersed boundary conditions (IBC) technique to three-dimensional (3D) large eddy simulations (LES) of viscous hypersonic flows around complex veh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ba119298de4c94cf87ee1b629bc2ed
https://www.scipedia.com/public/Nauleau_et_al_2022a
https://www.scipedia.com/public/Nauleau_et_al_2022a
Autor:
Nauleau, Florent, Bridel-Bertomeu, Thibault, Vivodtzev, Fabien, Beaugendre, Héloïse, Tierny, Julien
Publikováno v:
Journée Visu 2021
Journée Visu 2021, Jun 2021, Journée virtuelle, France
Journée Visu 2021, Jun 2021, Journée virtuelle, France
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::10da382971ac4e7f00cc4fe9d5cfe245
https://inria.hal.science/hal-03434853/file/nauleau-journee-visu-2021.pdf
https://inria.hal.science/hal-03434853/file/nauleau-journee-visu-2021.pdf
Autor:
Nauleau, Florent, Vivodtzev, Fabien, Bridel-Bertomeu, Thibault, Beaugendre, Heloise, Tierny, Julien
Publikováno v:
2022 IEEE 12th Symposium on Large Data Analysis and Visualization (LDAV)
LDAV 2022-IEEE 12th Symposium on Large Data Analysis and Visualization
LDAV 2022-IEEE 12th Symposium on Large Data Analysis and Visualization, Oct 2022, Oklahoma City, United States. pp.1-11, ⟨10.1109/LDAV57265.2022.9966403⟩
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Jul 2022, Oklahoma City, United States
LDAV 2022-IEEE 12th Symposium on Large Data Analysis and Visualization
LDAV 2022-IEEE 12th Symposium on Large Data Analysis and Visualization, Oct 2022, Oklahoma City, United States. pp.1-11, ⟨10.1109/LDAV57265.2022.9966403⟩
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Jul 2022, Oklahoma City, United States
International audience; This application paper presents a comprehensive experimental evaluation of the suitability of Topological Data Analysis (TDA) for the quantitative comparison of turbulent flows. Specifically, our study documents the usage of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44336afb727c8dbd03ddf1ba4e4da120