@inproceedings{2e0cd6e0b1f14413af6e2354843d2962,
title = "Variable-fidelity and reduced-order models for aero data for loads predictions",
abstract = "This paper summarizes recent progress in developing metamodels for efficiently predicting the aerodynamic loads acting on industrial aircraft configurations. We introduce a physics-based approach to reduced-order modeling based on proper orthogonal decomposition of snapshots of the full-order CFD model, and a mathematical approach to variable-fidelity modeling that aims at combining many low-fidelity CFD results with as few high-fidelity CFD results as possible using bridge functions and variants of Kriging and Cokriging. In both cases, the goal is to arrive at a model that can be used as an efficient surrogate to the original high-fidelity or full-order CFD model but with significantly less evaluation time and storage requirements. Both approaches are demonstrated on industrial aircraft configurations at subsonic and transonic flow conditions.",
keywords = "aerodynamics, computational fluid dynamics (CFD), Kriging, loads, proper orthogonal decomposition (POD), reduced order modeling (ROM), Variable fidelity modeling (VFM)",
author = "Stefan Goertz and Ralf Zimmermann and Han, {Zhong Hua}",
year = "2013",
doi = "10.1007/978-3-642-38877-4_8",
language = "English",
isbn = "978-3-642-38876-7",
series = "Notes on Numerical Fluid Mechanics and Multidisciplinary Design",
publisher = "Springer Science+Business Media",
pages = "99--112",
editor = "Norbert Kroll and Rolf Radespiel and Burg, {Jan Willem} and Kaare S{\o}rensen",
booktitle = "Computational Flight Testing",
note = "Closing Symposium of the German Research Initiative, ComFliTe ; Conference date: 11-06-2012 Through 12-06-2012",
}