TY - GEN
T1 - Adaptive simulation based on urans and ensemble Kalman filter for resolving turbulent flow on LES
AU - Ito, Sasuga
AU - Furukawa, Masato
AU - Kazutoyo, Yamada
AU - Manabe, Kaito
N1 - Funding Information:
This research was supported by JSPS KAKENHI Grant Number JP19J21317 as Grant-in-Aid for JSPS Research Fellow, and JP18H01373 as Grant-in-Aid for Scientific Research (B). The computations in the present study were performed using the supercomputer system ITO in Research Institute for Technology of Kyushu nU iversity.
Funding Information:
This research was supported by JSPS KAKENHI Grant Number JP19J21317 as Grant-in-Aid for JSPS Research Fellow, and JP18H01373 as Grant-in-Aid for Scientific Research (B). The computations in the present study were performed using the supercomputer system ITO in Research Institute for Technology of Kyushu University.
PY - 2020
Y1 - 2020
N2 - Turbulence is one of the most important phenomena in fluid dynamics. In general, turbulent phenomena can be resolved more clearly with Large Eddy Simulation (LES) compared with Unsteady Reynolds Averaged Navier-Stokes (URANS), and the numerical solution shows good agreements with that based on Direct Numerical Simulation (DNS). However, more time and computational power are needed on LES than those on URANS. If possible, the ideal simulation method is that the method is able to resolve the turbulent phenomena same quality as the results based on DNS and LES with less time and less computational power same as that on URANS. This paper shows an adaptive simulation method based on URANS and Ensemble Kalman Filter (Enkf) to reproduce the flow fields based on LES. In this study, a two-dimensional turbine cascade flow has been solved with URANS and LES. The adaptive simulation method has been also applied to the cascade flow. As the results, in the flow field of URANS with the assimilated turbulence model’s parameters, the separation phenomenon and the boundary layer thickness was close to that of the time averaged LES.
AB - Turbulence is one of the most important phenomena in fluid dynamics. In general, turbulent phenomena can be resolved more clearly with Large Eddy Simulation (LES) compared with Unsteady Reynolds Averaged Navier-Stokes (URANS), and the numerical solution shows good agreements with that based on Direct Numerical Simulation (DNS). However, more time and computational power are needed on LES than those on URANS. If possible, the ideal simulation method is that the method is able to resolve the turbulent phenomena same quality as the results based on DNS and LES with less time and less computational power same as that on URANS. This paper shows an adaptive simulation method based on URANS and Ensemble Kalman Filter (Enkf) to reproduce the flow fields based on LES. In this study, a two-dimensional turbine cascade flow has been solved with URANS and LES. The adaptive simulation method has been also applied to the cascade flow. As the results, in the flow field of URANS with the assimilated turbulence model’s parameters, the separation phenomenon and the boundary layer thickness was close to that of the time averaged LES.
UR - http://www.scopus.com/inward/record.url?scp=85094905443&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85094905443&partnerID=8YFLogxK
U2 - 10.1115/FEDSM2020-20344
DO - 10.1115/FEDSM2020-20344
M3 - Conference contribution
AN - SCOPUS:85094905443
T3 - American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM
BT - Computational Fluid Dynamics; Micro and Nano Fluid Dynamics
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2020 Fluids Engineering Division Summer Meeting, FEDSM 2020, collocated with the ASME 2020 Heat Transfer Summer Conference and the ASME 2020 18th International Conference on Nanochannels, Microchannels, and Minichannels
Y2 - 13 July 2020 through 15 July 2020
ER -