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

Mechanical And Aerospace Engineering

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

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
Title of host publication	Spaceflight Mechanics 2016
Subtitle of host publication	Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A
Editors	Renato Zanetti, Ryan P. Russell, Martin T. Ozimek, Angela L. Bowes
Place of Publication	San Diego, California
Pages	1987-2002
Number of pages	16
Publication status	Published - 14 Feb 2016
Event	26th AAS/AIAA Space Flight Mechanics Meeting, 2016 - Napa, United States Duration: 14 Feb 2016 → 18 Feb 2016

Publication series

Name	Advances in the Astronautical Sciences
Publisher	American Astronautical Society
Volume	158
ISSN (Print)	1081-6003

Conference

Conference	26th AAS/AIAA Space Flight Mechanics Meeting, 2016
Country/Territory	United States
City	Napa
Period	14/02/16 → 18/02/16

Keywords

multi fidelity model fusion
expensive experimentation
aeodynamic modeling
aerothermodynamic modeling

Marie Curie ITN (Stardust)
Vasile, M., Biggs, J., Burns, D., Hopkins, J., Macdonald, M., McInnes, C., Minisci, E. & Maddock, C.
European Commission - FP7 - General
1/02/13 → 31/01/17
Project: Research

ARCHIE-WeSt (UOSHPC)
Richard Martin (Manager)
University Of Strathclyde
Facility/equipment: Facility

Cite this

Kubicek, M., Mehta, P. M., Minisci, E., & Vasile, M. (2016). Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. In R. Zanetti, R. P. Russell, M. T. Ozimek, & A. L. Bowes (Eds.), Spaceflight Mechanics 2016: Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A (pp. 1987-2002). [AAS 16-491] (Advances in the Astronautical Sciences; Vol. 158)..

Kubicek, Martin ; Mehta, Piyush M. ; Minisci, Edmondo et al. / Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. Spaceflight Mechanics 2016: Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A. editor / Renato Zanetti ; Ryan P. Russell ; Martin T. Ozimek ; Angela L. Bowes. San Diego, California, 2016. pp. 1987-2002 (Advances in the Astronautical Sciences).

@inproceedings{c65450c4693e4cffb87c3d7f0746203a,

title = "Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation",

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.",

keywords = "multi fidelity model fusion, expensive experimentation, aeodynamic modeling, aerothermodynamic modeling",

author = "Martin Kubicek and Mehta, {Piyush M.} and Edmondo Minisci and Massimiliano Vasile",

note = "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 {\textcopyright} 2016 by American Astronautical Society Publications Office, P.O. Box 28130, San Diego, CA 92198, U.S.A.; Web Site: http://www.univelt.com).; 26th AAS/AIAA Space Flight Mechanics Meeting, 2016 ; Conference date: 14-02-2016 Through 18-02-2016",

year = "2016",

month = feb,

day = "14",

language = "English",

isbn = "9780877036333",

series = "Advances in the Astronautical Sciences",

publisher = "American Astronautical Society",

pages = "1987--2002",

editor = "Renato Zanetti and Russell, {Ryan P.} and Ozimek, {Martin T.} and Bowes, {Angela L.}",

booktitle = "Spaceflight Mechanics 2016",

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Kubicek, M, Mehta, PM, Minisci, E & Vasile, M 2016, Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. in R Zanetti, RP Russell, MT Ozimek & AL Bowes (eds), Spaceflight Mechanics 2016: Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A., AAS 16-491, Advances in the Astronautical Sciences, vol. 158, San Diego, California, pp. 1987-2002, 26th AAS/AIAA Space Flight Mechanics Meeting, 2016, Napa, United States, 14/02/16.

Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. / Kubicek, Martin; Mehta, Piyush M.; Minisci, Edmondo et al.

Spaceflight Mechanics 2016: Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A. ed. / Renato Zanetti; Ryan P. Russell; Martin T. Ozimek; Angela L. Bowes. San Diego, California, 2016. p. 1987-2002 AAS 16-491 (Advances in the Astronautical Sciences; Vol. 158).

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

TY - GEN

T1 - Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation

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AU - Mehta, Piyush M.

AU - Minisci, Edmondo

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N1 - 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).

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N2 - 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.

AB - 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.

KW - multi fidelity model fusion

KW - expensive experimentation

KW - aeodynamic modeling

KW - aerothermodynamic modeling

M3 - Conference contribution book

AN - SCOPUS:85007408441

SN - 9780877036333

T3 - Advances in the Astronautical Sciences

SP - 1987

EP - 2002

BT - Spaceflight Mechanics 2016

A2 - Zanetti, Renato

A2 - Russell, Ryan P.

A2 - Ozimek, Martin T.

A2 - Bowes, Angela L.

CY - San Diego, California

T2 - 26th AAS/AIAA Space Flight Mechanics Meeting, 2016

Y2 - 14 February 2016 through 18 February 2016

ER -

Kubicek M, Mehta PM, Minisci E , Vasile M. Multi-fidelity model fusion and uncertainty quantification using high dimensional model representation. In Zanetti R, Russell RP, Ozimek MT, Bowes AL, editors, Spaceflight Mechanics 2016: Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A. San Diego, California. 2016. p. 1987-2002. AAS 16-491. (Advances in the Astronautical Sciences).

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

Abstract

Publication series

Conference

Keywords

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Projects

Marie Curie ITN (Stardust)

Equipment

ARCHIE-WeSt (UOSHPC)

Cite this