TY - GEN
T1 - Hybrid wind tunnel based on ensemble Kalman filter
AU - Kato, Hiroshi
AU - Obayashi, Shigeru
PY - 2011
Y1 - 2011
N2 - In this research, "Data Assimilation" was applied to a wind tunnel experiment. A square cylinder wind tunnel experiment and the ensemble Kalman filter were used to integrate surface pressures of a square cylinder obtained from computation and experiment. The results indicated that surface pressures of the square cylinder and flow field can be reproduced by the present data assimilation method, while they could not be replicated by numerical simulation alone because of the coarse grid resolution. The results of the ensemble Kalman filter were compared with those of "Measurement-Integrated Simulation," which is another integrated method between computation and experiment for fluids. From the comparison results, it was considered that the ensemble Kalman filter has advantages in the region around the wind tunnel model compared to the measurement-integrated simulation.
AB - In this research, "Data Assimilation" was applied to a wind tunnel experiment. A square cylinder wind tunnel experiment and the ensemble Kalman filter were used to integrate surface pressures of a square cylinder obtained from computation and experiment. The results indicated that surface pressures of the square cylinder and flow field can be reproduced by the present data assimilation method, while they could not be replicated by numerical simulation alone because of the coarse grid resolution. The results of the ensemble Kalman filter were compared with those of "Measurement-Integrated Simulation," which is another integrated method between computation and experiment for fluids. From the comparison results, it was considered that the ensemble Kalman filter has advantages in the region around the wind tunnel model compared to the measurement-integrated simulation.
KW - CFD
KW - Data assimilation
KW - Ensemble kalman filter
KW - Wind tunnel
UR - http://www.scopus.com/inward/record.url?scp=80052517434&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052517434&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80052517434
SN - 9781457702679
T3 - Fusion 2011 - 14th International Conference on Information Fusion
BT - Fusion 2011 - 14th International Conference on Information Fusion
T2 - 14th International Conference on Information Fusion, Fusion 2011
Y2 - 5 July 2011 through 8 July 2011
ER -