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Focusing on the uncertainties in aeronautical components, this work introduces polynomial chaos as a means to assess performance output influenced by these uncertainties. It addresses the curse-of-dimensionality by employing a reduced basis approach, utilizing simulations to derive output covariance in stochastic space. The methodology is applied to both a 2D airfoil and a 3D transonic compressor, incorporating robust, gradient-based shape optimization techniques. An adjoint methodology is utilized to efficiently calculate gradients, crucial for optimizing designs with numerous variables.
Buchkauf
Development of Efficient UQ and RO Methods, Dinesh Kumar
- Sprache
- Erscheinungsdatum
- 2017
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- (Paperback)
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- Titel
- Development of Efficient UQ and RO Methods
- Untertitel
- With CFD Applications
- Sprache
- Englisch
- Autor*innen
- Dinesh Kumar
- Erscheinungsdatum
- 2017
- Einband
- Paperback
- Seitenzahl
- 196
- ISBN13
- 9783330046559
- Kategorie
- Technik & Maschinenbau
- Beschreibung
- Focusing on the uncertainties in aeronautical components, this work introduces polynomial chaos as a means to assess performance output influenced by these uncertainties. It addresses the curse-of-dimensionality by employing a reduced basis approach, utilizing simulations to derive output covariance in stochastic space. The methodology is applied to both a 2D airfoil and a 3D transonic compressor, incorporating robust, gradient-based shape optimization techniques. An adjoint methodology is utilized to efficiently calculate gradients, crucial for optimizing designs with numerous variables.