Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Gauding, Michael"'
Autor:
Lehmann, Terence, Berger, Lukas, Howarth, Thomas L., Gauding, Michael, Girhe, Sanket, Dally, Bassam B., Pitsch, Heinz
Two-dimensional direct numerical simulations of planar laminar premixed ammonia/hydrogen/air flames are conducted for a wide range of equivalence ratios, hydrogen ($\rm H_2$) fractions in the fuel blend, pressures, and unburned temperatures to study
Externí odkaz:
http://arxiv.org/abs/2410.11466
Models for finite-rate-chemistry in underresolved flows still pose one of the main challenges for predictive simulations of complex configurations. The problem gets even more challenging if turbulence is involved. This work advances the recently deve
Externí odkaz:
http://arxiv.org/abs/2210.16206
Autor:
Bode, Mathis, Gauding, Michael, Göbbert, Jens Henrik, Liao, Baohao, Jitsev, Jenia, Pitsch, Heinz
Publikováno v:
LNCS 11203, pp. 614-623, 2018
In this paper, deep learning (DL) methods are evaluated in the context of turbulent flows. Various generative adversarial networks (GANs) are discussed with respect to their suitability for understanding and modeling turbulence. Wasserstein GANs (WGA
Externí odkaz:
http://arxiv.org/abs/2210.16110
Autor:
Farmand, Pooria, Nicolai, Hendrik, Usman, Muhammad, Berger, Lukas, Attili, Antonio, Gauding, Michael, Hasse, Christian, Pitsch, Heinz
Publikováno v:
In Fuel 1 September 2024 371 Part B
Publikováno v:
In Proceedings of the Combustion Institute 2024 40(1-4)
Publikováno v:
In Proceedings of the Combustion Institute 2024 40(1-4)
Autor:
Chu, Hongchao, Berger, Lukas, Grenga, Temistocle, Gauding, Michael, Cai, Liming, Pitsch, Heinz
Publikováno v:
In Combustion and Flame September 2023 255
Autor:
Bode, Mathis, Gauding, Michael, Lian, Zeyu, Denker, Dominik, Davidovic, Marco, Kleinheinz, Konstantin, Jitsev, Jenia, Pitsch, Heinz
Turbulence is still one of the main challenges for accurately predicting reactive flows. Therefore, the development of new turbulence closures which can be applied to combustion problems is essential. Data-driven modeling has become very popular in m
Externí odkaz:
http://arxiv.org/abs/1911.11380
Modeling of turbulent flows is still challenging. One way to deal with the large scale separation due to turbulence is to simulate only the large scales and model the unresolved contributions as done in large-eddy simulation (LES). This paper focuses
Externí odkaz:
http://arxiv.org/abs/1910.00928