JAXA Repository / AIREX 未来へ続く、宙(そら)への英知
62070004.pdf1.11 MB
titleOverview of Activities in Stochastic Data Assimilation for Applications in Aerodynamics
Author(jpn)Dwight, Richard P.; deBaar, Jouke H. S.; Sciacchitano, Andrea; Percin, Mustafa; Bijl, Hester; Scarano, Fulvio
Author(eng)Dwight, Richard P.; deBaar, Jouke H. S.; Sciacchitano, Andrea; Percin, Mustafa; Bijl, Hester; Scarano, Fulvio
Author Affiliation(jpn)Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft
Author Affiliation(eng)Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft; Aerodynamics Section, Faculty of Aerospace Engineering, TU Delft
Issue Date2013-11-30
Publisher宇宙航空研究開発機構(JAXA)
Japan Aerospace Exploration Agency (JAXA)
Publication title宇宙航空研究開発機構特別資料
JAXA Special Publication
VolumeJAXA-SP-13-001E
Start page37
End page53
Publication date2013-11-30
Languageeng
AbstractIn this conspectus paper we present a brief summary of a variety of recent activities in data assimilation performed at the Aerodynamics Section of the TU Delft. We hope to demonstrate a few of the exciting possibilities for combining experimental data and numerical models, improving the capability of both. Our activities are bound by a common theme of combining experimental wind-tunnel measurements and CFD simulations in order to (i) improve fidelity of experimental data, (ii) obtain estimates of unmeasured quantities, (iii) estimate modeling error and parametric uncertainty in simulation. The methodologies we use depends strongly on the application, but all have Bayesian inference at their root with some statistical model representing the relation between measurement and simulation. Bayesian statistics offers a coherent and flexible framework for describing solutions of the ill-posed problems that arise in this analysis of data, but new numerical methods are needed to find these solutions efficiently.
Description形態: カラー図版あり
Meeting Information: 5th Symposium on Integrating CFD and Experiments in Aerodynamics (October 3-5, 2012, Chofu Aerospace Center, Japan Aerospace Exploration Agency (JAXA)), Chofu, Tokyo, Japan
Physical characteristics: Original contains color illustrations
KeywordsBayesian inference; uncertainty quantification; data assimilation; aerodynamics; CFD; particle image velocimetry; model inadequacy; Kriging
Document TypeConference Paper
JAXA Category特別資料
NASA Subject CategoryFluid Mechanics and Thermodynamics
ISSN1349-113X
NCIDAA11984031
SHI-NOAA0062070004
Report NoJAXA-SP-13-001E
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/15927


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