Back
  1. Home
  3. Detailled Reference
Download
Poster (Scientific congresses and symposiums)
Data-driven wall shear stress model for Large Eddy Simulations applied to flow separation
Boxho, Margaux; Michel, Rasquin; Thomas Toulorge et al.
2022 • DLES13
Permalink
https://hdl.handle.net/2268/296842
 

Files (2)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
Boxho_DLES13_Abstract.pdf
Author postprint (219.55 kB)
Download
Annexes
Boxho_DLES13_Presentation.pdf
(12.78 MB)
This document is the presentation performed at the conference DLES13 (10 minutes presentation coupled with 5 minutes of Q&A)
Download

All documents in ORBi are protected by a user license.

Send to


Details


Keywords :
Turbulence; Separation; wmLES; data-driven model; ML; Neural networks
Research Center/Unit :
Cenaero
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Boxho, Margaux ;  Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; Cenaero ; UCLouvain
Michel, Rasquin;  Cenaero
Thomas Toulorge;  Cenaero
Grégory Dergham;  Safran
Grégoire Winckelmans;  Ecole Polytechnique de Louvain > Institute of Mechanics, Materials and Civil Engineering (IMMC) > Thermodynamics and fluid mechanics
Hillewaert, Koen  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Design of Turbomachines ; Cenaero
Language :
English
Title :
Data-driven wall shear stress model for Large Eddy Simulations applied to flow separation
Publication date :
27 October 2022
Event name :
DLES13
Event organizer :
ERCOFTAC Workshop
Event place :
Udine, Italy
Event date :
26-28 October 2022
Audience :
International
Tags :
Tier-1 supercomputer
Funders :
Safran Tech
Available on ORBi :
since 29 November 2022

Statistics

Number of views
36 (4 by ULiège)
Number of downloads
80 (0 by ULiège)
More statistics

Bibliography

Similar publications


Contact ORBi