Journal article
J. Weinmeister, Xinfeng Gao, Sourajeet Roy
AIAA Journal, 2019
AIAA Journal, 2019
Semantic Scholar
DOI
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Cite
APA
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Weinmeister, J., Gao, X., & Roy, S. (2019). Analysis of a Polynomial Chaos-Kriging Metamodel for Uncertainty Quantification in Aerodynamics. AIAA Journal.
Chicago/Turabian
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Weinmeister, J., Xinfeng Gao, and Sourajeet Roy. “Analysis of a Polynomial Chaos-Kriging Metamodel for Uncertainty Quantification in Aerodynamics.” AIAA Journal (2019).
MLA
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Weinmeister, J., et al. “Analysis of a Polynomial Chaos-Kriging Metamodel for Uncertainty Quantification in Aerodynamics.” AIAA Journal, 2019.
BibTeX Click to copy
@article{j2019a,
title = {Analysis of a Polynomial Chaos-Kriging Metamodel for Uncertainty Quantification in Aerodynamics},
year = {2019},
journal = {AIAA Journal},
author = {Weinmeister, J. and Gao, Xinfeng and Roy, Sourajeet}
}
Abstract
New aerospace aerodynamic bodies increasingly require robust design methods that demand data of the key problem variables in the presence of uncertainty. When these bodies are subject to complex ph...