Uncertainty Quantification and Sensitivity Analysis of Transonic Aerodynamics with Geometric Uncertainty
Joint Authors
Wu, Xiaojing
Zhang, Weiwei
Song, Shufang
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-26
Country of Publication
Egypt
No. of Pages
16
Abstract EN
Airfoil geometric uncertainty can generate aerodynamic characteristics fluctuations.
Uncertainty quantification is applied to compute its impact on the aerodynamic characteristics.
In addition, the contribution of each uncertainty variable to aerodynamic characteristics should be computed by the uncertainty sensitivity analysis.
In the paper, Sobol’s analysis is used for uncertainty sensitivity analysis and a nonintrusive polynomial chaos method is used for uncertainty quantification and Sobol’s analysis.
It is difficult to describe geometric uncertainty because it needs a lot of input parameters.
In order to alleviate the contradiction between the variable dimension and computational cost, a principal component analysis is introduced to describe geometric uncertainty of airfoil.
Through this technique, the number of input uncertainty variables can be reduced and typical global deformation modes can be obtained.
By uncertainty quantification, we can learn that the flow characteristics of shock wave and boundary layer separation are sensitive to the geometric uncertainty in transonic region, which is the main reason that transonic drag is sensitive to the geometric uncertainty.
The sensitivity analysis shows that the model can be simplified by eliminating unimportant geometric modes.
Moreover, which are the most important geometric modes to transonic aerodynamics can be learnt.
This is very helpful for airfoil design.
American Psychological Association (APA)
Wu, Xiaojing& Zhang, Weiwei& Song, Shufang. 2017. Uncertainty Quantification and Sensitivity Analysis of Transonic Aerodynamics with Geometric Uncertainty. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1158176
Modern Language Association (MLA)
Wu, Xiaojing…[et al.]. Uncertainty Quantification and Sensitivity Analysis of Transonic Aerodynamics with Geometric Uncertainty. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1158176
American Medical Association (AMA)
Wu, Xiaojing& Zhang, Weiwei& Song, Shufang. Uncertainty Quantification and Sensitivity Analysis of Transonic Aerodynamics with Geometric Uncertainty. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1158176
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158176