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Low complexity models to improve incomplete sensitivities for shape optimization. (English) Zbl 1148.76337

Summary: The present global platform for simulation and design of multi-model configurations treat shape optimization problems in aerodynamics. Flow solvers are coupled with optimization algorithms based on CAD-free and CAD-connected frameworks. Newton methods together with incomplete expressions of gradients are used. Such incomplete sensitivities are improved using reduced models based on physical assumptions. The validity and the application of this approach in real-life problems are presented. The numerical examples concern shape optimization for an airfoil, a business jet and a car engine cooling axial fan.

MSC:

76F99 Turbulence
49Q20 Variational problems in a geometric measure-theoretic setting
76M25 Other numerical methods (fluid mechanics) (MSC2010)

Software:

NSC2KE
PDFBibTeX XMLCite
Full Text: DOI

References:

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This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.