AJKFED 2023 (ASME-JSME-KSME Joint Fluids Engineering Conference)

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Technical session

V. Data-based Simulations and Machine Learning

1-10-2

Mon. Jul 10, 2023 2:40 PM - 4:40 PM Room 10 (10F 1009)

Chair:Koji Fukagata(Keio University)

4:00 PM - 4:20 PM

[1-10-2-05] Unavailable parameters prediction based on velocity fields of turbulent flows using Deep learning

*Linqi Yu1, Mustafa Z. YOUSIF1,2, HeeChang LIM1 (1. Pusan national university, 2. LSTME)

Keywords:Deep learning, channel flow, Rayleigh-Bénard flow , Unavailable parameters prediction

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