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2021 | OriginalPaper | Buchkapitel

Towards Faster Design Cycles Through Gradient-Based Optimization

verfasst von : Tom Verstraete, Lasse Mueller, Mohamed Aissa, Arnaud Chatel

Erschienen in: Fundamentals of High Lift for Future Civil Aircraft

Verlag: Springer International Publishing

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Abstract

As design tasks are significantly complexifying over time, engineers seek more often assistance by optimization tools in their daily design task. Those cost-effective tools propose innovative solutions which could not be found intuitively by human designers. However, as more and more freedom is given to the design problem, classical optimization algorithms tend to require a significant computational cost. This can be reduced remarkably by using gradient-based optimization algorithms, but these require the computation of the gradient. The present paper discusses the advantages of gradient-based methods and illustrates their capabilities on some turbomachinery design problems compared to gradient-free methods.

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Vorheriges Kapitel Numerical Simulations and Experiments for Flows over Porous Media

Nächstes Kapitel A Review of Turbomachinery Noise: From Analytical Models to High-Fidelity Simulations

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Titel: Towards Faster Design Cycles Through Gradient-Based Optimization
verfasst von: Tom Verstraete
Lasse Mueller
Mohamed Aissa
Arnaud Chatel
Verlag: Springer International Publishing
Buch: Fundamentals of High Lift for Future Civil Aircraft
Print ISBN: 978-3-030-52428-9

Electronic ISBN: 978-3-030-52429-6

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-52429-6_34

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