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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16698
Title: Analysis of a polynomial chaos-kriging metamodel for uncertainty quantification in aerospace applications
Authors: Weinmeister J.
Xie N.
Gao X.
Prasad A.K.
Roy S.
Published in: Proceedings of AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
Abstract: Metamodeling can be effective for uncertainty quantification in computational fluid dynamics simulations. In this research, we introduce modifications to our existing metamodel1 that combines a reduced polynomial chaos expansion approach and universal Kriging (RPCK) and evaluate the new metamodel for aerospace applications. Focus is given to determine the impact of optimization functions and autocorrelation functions on the solution accuracy by measuring the errors. Additionally, a new adaptive refinement algorithm is explored and the methodology is presented. Results show the metamodel’s robustness for aerospace engineering applications, including the non-smooth output of separated airflow. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
Citation: Proceedings of AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018, (2018)
URI: https://doi.org/10.2514/6.2018-0911
http://repository.iitr.ac.in/handle/123456789/16698
Issue Date: 2018
Publisher: American Institute of Aeronautics and Astronautics Inc, AIAA
Keywords: Aerospace applications
Aviation
Computational fluid dynamics
Interpolation
Structural dynamics
Adaptive refinement
Autocorrelation functions
Computational fluid dynamics simulations
Engineering applications
Kriging meta models
Optimization function
Polynomial chaos expansion
Uncertainty quantifications
Uncertainty analysis
ISBN: 9.78E+12
Author Scopus IDs: 57194854612
57190859745
56218218900
56723412600
55364099700
Author Affiliations: Weinmeister, J., Computational Fluid Dynamics and Propulsion Laboratory, Colorado State University, Fort Collins, CO 80523, United States
Xie, N., Computational Fluid Dynamics and Propulsion Laboratory, Colorado State University, Fort Collins, CO 80523, United States
Gao, X., Computational Fluid Dynamics and Propulsion Laboratory, Colorado State University, Fort Collins, CO 80523, United States
Prasad, A.K., High Speed System Simulation Laboratory, Colorado State University, Fort Collins, CO 80523, United States
Roy, S., High Speed System Simulation Laboratory, Colorado State University, Fort Collins, CO 80523, United States
Appears in Collections:Conference Publications [ECE]

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