論文

査読有り
2016年4月

International journal of computational fluid dynamics real-time prediction of unsteady flow based on POD reduced-order model and particle filter

International Journal of Computational Fluid Dynamics
  • Ryota Kikuchi
  • ,
  • Takashi Misaka
  • ,
  • Shigeru Obayashi

30
4
開始ページ
285
終了ページ
306
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/10618562.2016.1198782
出版者・発行元
TAYLOR & FRANCIS LTD

© 2016 Informa UK Limited, trading as Taylor & Francis Group. An integrated method consisting of a proper orthogonal decomposition (POD)-based reduced-order model (ROM) and a particle filter (PF) is proposed for real-time prediction of an unsteady flow field. The proposed method is validated using identical twin experiments of an unsteady flow field around a circular cylinder for Reynolds numbers of 100 and 1000. In this study, a PF is employed (ROM-PF) to modify the temporal coefficient of the ROM based on observation data because the prediction capability of the ROM alone is limited due to the stability issue. The proposed method reproduces the unsteady flow field several orders faster than a reference numerical simulation based on Navier–Stokes equations. Furthermore, the effects of parameters, related to observation and simulation, on the prediction accuracy are studied. Most of the energy modes of the unsteady flow field are captured, and it is possible to stably predict the long-term evolution with ROM-PF.

Web of Science ® 被引用回数 : 4

リンク情報
DOI
https://doi.org/10.1080/10618562.2016.1198782
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000382939400001&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84976309746&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84976309746&origin=inward

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