Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation

Kubicek, Martin and Mehta, Piyush M. and Minisci, Edmondo and Vasile, Massimiliano; Zanetti, Renato and Russell, Ryan P. and Ozimek, Martin T. and Bowes, Angela L., eds. (2016) Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. In: Spaceflight Mechanics 2016. Advances in the Astronautical Sciences . American Astronautical Society, USA, pp. 1987-2002. ISBN 9780877036333

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Abstract

High-fidelity modeling based on experiments or simulations is generally very expensive. Low-fidelity models, when available, typically have simplifying assumptions made during the development and hence are quick but not so accurate. We present development of a new and novel approach for multi-fidelity model fusion to achieve the accuracy of the expensive high-fidelity methods with the speed of the inaccurate low-fidelity models. The multi-fidelity fusion model and the associated uncertainties is achieved using a new derivation of the high dimensional model representation (HDMR) method. The method can provide valuable insights for efficient placement of the expensive high-fidelity simulations in the domain towards reducing the multi-fidelity model uncertainties. The method is applied and validated with aerodynamic and aerothermodynamic models for atmospheric re-entry.

  • Item type:Book Section
    ID code:61403
    Dates:
    Date
    Event
    14 February 2016
    Published
    19 November 2015
    Accepted
    Notes:This paper was originally presented at the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A.., and was originally published in the American Astronautical Society (AAS) publication: Spaceflight Mechanics 2016, edited by R Zanetti, RP Russell, MT Ozimek & AL Bowes, American Astronautical Society (AAS) Advances in the Astronautical Sciences, Volume 158, 2016, pp. 1807-1822 (Copyright © 2016 by American Astronautical Society Publications Office, P.O. Box 28130, San Diego, CA 92198, U.S.A.; Web Site: http://www.univelt.com).
    Subjects:Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Depositing user: Pure Administrator
    Date deposited:28 Jul 2017 10:38
    Last modified:08 Apr 2024 13:37
    URI:https://strathprints.strath.ac.uk/id/eprint/61403
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