Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nilam Tathawadekar"'
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 265:1645-1656
Performing measurements in reacting flows is a challenging task due to the complexity of measuring all quantities of interest simultaneously or limitations in the optical access. To compensate for this, recent advances in deep learning have shown a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f753f34fce1b2f2f5985e8664438d1
https://doi.org/10.3397/in_2022_0235
https://doi.org/10.3397/in_2022_0235
Publikováno v:
Proceedings of the Combustion Institute
This paper demonstrates the ability of neural networks to reliably learn the nonlinear flame response of a laminar premixed flame, while carrying out only one unsteady CFD simulation. The system is excited with a broadband, low-pass filtered velocity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33a8c5c0ea6236ced58b1d6bd38aeffa
https://doi.org/10.1016/j.proci.2020.07.115
https://doi.org/10.1016/j.proci.2020.07.115
Publikováno v:
Data-Centric Engineering; 2023, Vol. 4, p1-27, 27p