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|
|Number of pages||16|
|State||Published - 2016|
|Event||26th AAS/AIAA Space Flight Mechanics Meeting, 2016 - Napa, United States|
Duration: Feb 14 2016 → Feb 18 2016
|Name||Advances in the Astronautical Sciences|
|Other||26th AAS/AIAA Space Flight Mechanics Meeting, 2016|
|Period||2/14/16 → 2/18/16|
Bibliographical noteFunding 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'.