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Augmented Prediction of Turbulent Flows via Sequential Estimators

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Direct and Large-Eddy Simulation XI

Part of the book series: ERCOFTAC Series ((ERCO,volume 25))

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Abstract

Among the numerous research aspects in the analysis of complex flow configurations of industrial interest, the accurate prediction of turbulent flows is one of the ultimate open challenges. Investigation via classical tools, such as experiments and numerical simulation, is difficult because of fundamental drawbacks which can not be completely excluded. Experiments provide a local description of flow dynamics via measurements sampled by sensors. A complete reconstruction of the flow behavior in the whole physical domain is problematic because of the non-linear, strongly inertial behavior of turbulence. While reduced-order models, such as POD (Lumley, Stochastic tools in turbulence. Academic Press, New York, 1970, [4]), have been extensively used for this purpose, they usually provide an incomplete reconstruction of turbulent flows for the aforementioned reasons.

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Authors and Affiliations

  1. Institut Pprime, Department of Fluid Flow, Heat Transfer and Combustion, CNRS - ENSMA - Universit’e de Poitiers, UPR 3346, SP2MI - Teleport, 211 Bd. Marie et Pierre Curie, B.P. 30179, 86962, Futuroscope Chasseneuil Cedex, France

    M. Meldi & A. Poux

Authors
  1. M. Meldi
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  2. A. Poux
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Corresponding author

Correspondence to M. Meldi .

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Editors and Affiliations

  1. Dipartimento di Ingegneria Civile e Industriale, Università di Pisa, Pisa, Italy

    Maria Vittoria Salvetti

  2. Dipartimento di Ingegneria Civile e Ambientale, Università degli studi di Trieste, Trieste, Italy

    Vincenzo Armenio

  3. Institut für Strömungsmechanik, Technische Universität Dresden, Dresden, Germany

    Jochen Fröhlich

  4. Faculty of Electrical Engineering, Mathematics and Computer Science, Multiscale Modeling and Simulation, University of Twente, Enschede, The Netherlands

    Bernard J. Geurts

  5. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Hans Kuerten

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Meldi, M., Poux, A. (2019). Augmented Prediction of Turbulent Flows via Sequential Estimators. In: Salvetti, M., Armenio, V., Fröhlich, J., Geurts, B., Kuerten, H. (eds) Direct and Large-Eddy Simulation XI. ERCOFTAC Series, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-04915-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-04915-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04914-0

  • Online ISBN: 978-3-030-04915-7

  • eBook Packages: EngineeringEngineering (R0)

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