@inproceedings{oai:jaxa.repo.nii.ac.jp:00004015,
 author = {菊地, 亮太 and 三坂, 孝志 and 大林, 茂 and Kikuchi, Ryota and Misaka, Takashi and Obayashi, Shigeru},
 book = {宇宙航空研究開発機構特別資料: 第45回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2013論文集, JAXA Special Publication},
 month = {Mar},
 note = {第45回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2013 (2013年7月4日-5日. タワーホール船堀), 東京, 45th Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2013 (July 4-5, 2013. Tower Hall Funabori), Tokyo, Japan, 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., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AA0062268015, レポート番号: JAXA-SP-13-011},
 pages = {83--88},
 publisher = {宇宙航空研究開発機構(JAXA), Japan Aerospace Exploration Agency (JAXA)},
 title = {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},
 volume = {JAXA-SP-13-011},
 year = {2014}
}