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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


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 languageEnglish
Title of host publicationSpaceflight Mechanics 2016
Subtitle of host publicationProceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting held February 14–18, 2016, Napa, California, U.S.A
EditorsRenato Zanetti, Ryan P. Russell, Martin T. Ozimek, Angela L. Bowes
Place of PublicationSan Diego, California
Number of pages16
Publication statusPublished - 14 Feb 2016
Event26th AAS/AIAA Space Flight Mechanics Meeting, 2016 - Napa, United States
Duration: 14 Feb 201618 Feb 2016

Publication series

NameAdvances in the Astronautical Sciences
PublisherAmerican Astronautical Society
ISSN (Print)1081-6003


Conference26th AAS/AIAA Space Flight Mechanics Meeting, 2016
Country/TerritoryUnited States


  • multi fidelity model fusion
  • expensive experimentation
  • aeodynamic modeling
  • aerothermodynamic modeling


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