45th Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2013 (July 4-5, 2013. Tower Hall Funabori), Tokyo, Japan
抄録（英）
In this research, aiming at real-time data assimilation, a reduced order model (ROM) and a particle filter (PF) are applied to predict the Karman vortex around a circular cylinder. The ROM is an efficient tool to calculate a flow field in real-time because the ROM consumes extremely less computational time than the original numerical model. The PF is employed to estimate coefficients of the ROM by using observed velocity components in the wake of the circular cylinder. Comparing the result of the ROM and that of the numerical analysis by Building Cube Methods (BCM), the phase difference of the Karman vortex between the ROM and the observations was corrected. The proposed method could estimate the flow field accurately in real-time even though the observation contained artificial measurement errors.
内容記述
形態: カラー図版あり
内容記述（英）
Physical characteristics: Original contains color illustrations
縮約モデルと粒子フィルタを用いたリアルタイムデータ同化計算
62268015.pdf
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