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Title: Efficient uncertainty quantification applied to the aeroelastic analysis of a transonic wing
Author (s): Hosder, Serhat
Walters, R. W.
Balch, M.
Department/Lab Affiliations: Mechanical & Aerospace Engineering
Keywords: Aeroelastic Analysis
Efficient Uncertainty Quantification
Transonic Wing
Issue Date: 2008-01
Publisher: American Instsitute of Aeronautics and Astronautics
Citation: S. Hosder, R. W. Walters, and M. Balch, “Efficient Uncertainty Quantification Applied to the Aeroelastic Analysis of a Transonic Wing”, 46th AIAA Aerospace Sciences Meeting and Exhibit, Paper No.AIAA-2008-729, Reno, NV, Jan. 2008.
Abstract: The application of a Point-Collocation Non-Intrusive Polynomial Chaos method to the uncertainty quantification of a stochastic transonic aeroelastic wing problem has been demonstrated. The variation in the transient response of the first aeroelastic mode of a three-dimensional wing in transonic flow due to the uncertainty in free-stream Mach number and angle of attack was studied. A curve-fitting procedure was used to obtain time-independent parameterization of the transient aeroelastic responses. Among the uncertain parameters that characterize the time-dependent transients, the damping factor was chosen for uncertainty quantification, since this parameter can be thought as an indicator for flutter. Along with the mean and the standard deviation of the damping factor, the probability of having flutter for the given uncertainty in the Mach number and the angle of attack has been also calculated. Besides the Point-Collocation Non-Intrusive Polynomial Chaos method, 1000 Latin Hypercube Monte Carlo simulations were also performed to quantify the uncertainty in the damping factor. The results obtained for various statistics of the damping factor including the flutter probability showed that an 8th degree Point-Collocation Non-Intrusive Polynomial Chaos expansion is capable of estimating the statistics at an accuracy level of 1000 Latin Hypercube Monte Carlo simulation with a significantly lower computational cost. In addition to the uncertainty quantification, the response surface approximation, sensitivity analysis, and reconstruction of the transient response via Non-Intrusive Polynomial Chaos were also demonstrated.
Type: Article - Journal
text
In Title: 46th AIAA Aerospace Sciences Meeting and Exhibit
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titleEfficient uncertainty quantification applied to the aeroelastic analysis of a transonic wing
contributor.authorHosder, Serhat
contributor.authorWalters, R. W.
contributor.authorBalch, M.
contributor.deptlabMechanical & Aerospace Engineering
subjectAeroelastic Analysis
subjectEfficient Uncertainty Quantification
subjectTransonic Wing
date.issued2008-01
publisherAmerican Instsitute of Aeronautics and Astronautics
identifier.citationS. Hosder, R. W. Walters, and M. Balch, “Efficient Uncertainty Quantification Applied to the Aeroelastic Analysis of a Transonic Wing”, 46th AIAA Aerospace Sciences Meeting and Exhibit, Paper No.AIAA-2008-729, Reno, NV, Jan. 2008.
identifier.pub.URI
http://pdf.aiaa.org/preview/CDReadyMASM08_1065/PV2008_729.pdf
description.abstractThe application of a Point-Collocation Non-Intrusive Polynomial Chaos method to the uncertainty quantification of a stochastic transonic aeroelastic wing problem has been demonstrated. The variation in the transient response of the first aeroelastic mode of a three-dimensional wing in transonic flow due to the uncertainty in free-stream Mach number and angle of attack was studied. A curve-fitting procedure was used to obtain time-independent parameterization of the transient aeroelastic responses. Among the uncertain parameters that characterize the time-dependent transients, the damping factor was chosen for uncertainty quantification, since this parameter can be thought as an indicator for flutter. Along with the mean and the standard deviation of the damping factor, the probability of having flutter for the given uncertainty in the Mach number and the angle of attack has been also calculated. Besides the Point-Collocation Non-Intrusive Polynomial Chaos method, 1000 Latin Hypercube Monte Carlo simulations were also performed to quantify the uncertainty in the damping factor. The results obtained for various statistics of the damping factor including the flutter probability showed that an 8th degree Point-Collocation Non-Intrusive Polynomial Chaos expansion is capable of estimating the statistics at an accuracy level of 1000 Latin Hypercube Monte Carlo simulation with a significantly lower computational cost. In addition to the uncertainty quantification, the response surface approximation, sensitivity analysis, and reconstruction of the transient response via Non-Intrusive Polynomial Chaos were also demonstrated.
typeArticle - Journal
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.aiaa.org/pdf/home/authorkit.pdf
relation.isPartOf46th AIAA Aerospace Sciences Meeting and Exhibit
date.accessioned2007-04-11T17:00:48Z
date.available2008-05-07T20:29:04Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/EfficientUncertaintyQuantificationAppliedToTheA_09007dcc804f918a.html
Full Text
AIAA2008729568_09007dcc80533077.pdf