論文

査読有り
2015年9月23日

Assessment of probability density function based on POD reduced-order model for ensemble-based data assimilation

Fluid Dynamics Research
  • Ryota Kikuchi
  • ,
  • Takashi Misaka
  • ,
  • Shigeru Obayashi

47
5
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1088/0169-5983/47/5/051403
出版者・発行元
IOP PUBLISHING LTD

© 2015 The Japan Society of Fluid Mechanics and IOP Publishing Ltd. An integrated method of a proper orthogonal decomposition based reduced-order model (ROM) and data assimilation is proposed for the real-time prediction of an unsteady flow field. In this paper, a particle filter (PF) and an ensemble Kalman filter (EnKF) are compared for data assimilation and the difference in the predicted flow fields is evaluated focusing on the probability density function (PDF) of the model variables. The proposed method is demonstrated using identical twin experiments of an unsteady flow field around a circular cylinder at the Reynolds number of 1000. The PF and EnKF are employed to estimate temporal coefficients of the ROM based on the observed velocity components in the wake of the circular cylinder. The prediction accuracy of ROM-PF is significantly better than that of ROM-EnKF due to the flexibility of PF for representing a PDF compared to EnKF. Furthermore, the proposed method reproduces the unsteady flow field several orders faster than the reference numerical simulation based on the Navier-Stokes equations.

Web of Science ® 被引用回数 : 6

リンク情報
DOI
https://doi.org/10.1088/0169-5983/47/5/051403
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000364131200005&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84947726876&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84947726876&origin=inward

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