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

Martin Kubicek; Piyush M. Mehta; Edmondo Minisci; Massimiliano Vasile

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

Martin Kubicek, Piyush M. Mehta, Edmondo Minisci, Massimiliano Vasile

Aerospace Engineering and Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Spaceflight Mechanics 2016
Editors	Martin T. Ozimek, Renato Zanetti, Angela L. Bowes, Ryan P. Russell, Martin T. Ozimek
Publisher	Univelt Inc.
Pages	1987-2002
Number of pages	16
ISBN (Print)	9780877036333
State	Published - 2016
Event	26th AAS/AIAA Space Flight Mechanics Meeting, 2016 - Napa, United States Duration: Feb 14 2016 → Feb 18 2016

Publication series

Name	Advances in the Astronautical Sciences
Volume	158
ISSN (Print)	0065-3438

Other

Other	26th AAS/AIAA Space Flight Mechanics Meeting, 2016
Country/Territory	United States
City	Napa
Period	2/14/16 → 2/18/16

Bibliographical note

Funding Information:
For Piyush Mehta is provided by the European Commission through the Marie Curie Initial Training Network (ITN) STARDUST under grant number 317185. Partial support for Martin Kubicek is provided by 'OPTIMAD Engineering Srl'.

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Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. / Kubicek, Martin; Mehta, Piyush M.; Minisci, Edmondo et al.
Spaceflight Mechanics 2016. ed. / Martin T. Ozimek; Renato Zanetti; Angela L. Bowes; Ryan P. Russell; Martin T. Ozimek. Univelt Inc., 2016. p. 1987-2002 (Advances in the Astronautical Sciences; Vol. 158).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kubicek, M, Mehta, PM, Minisci, E & Vasile, M 2016, Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. in MT Ozimek, R Zanetti, AL Bowes, RP Russell & MT Ozimek (eds), Spaceflight Mechanics 2016. Advances in the Astronautical Sciences, vol. 158, Univelt Inc., pp. 1987-2002, 26th AAS/AIAA Space Flight Mechanics Meeting, 2016, Napa, United States, 2/14/16.

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

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