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Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization

Schotthöfer, Steffen ORCID iD icon; Zhou, Beckett Yx; Albring, Tim A.; Gauger, Nicolas R.


Unsteady Aerodynamic Shape Optimization presents new challenges in terms of sensitivity analysis of time-dependent objective functions. In this work, we consider periodic unsteady flows governed by the URANS equations. Hence, the resulting output functions acting as objective or constraint functions of the optimization are themselves periodic with unknown period length, that may depend on the design parameter of said optimization. Sensitivity Analysis on the time-average of a function with these properties turns out to be difficult. Therefore, we explore methods to regularize the time average of such a function with the so called windowing-approach. Furthermore, we embed these regularizers into the discrete adjoint solver for the URANS equations of the multi-physics and optimization software SU2. Finally, we exhibit a comparison study between the classical non regularized optimization procedure and the ones enhanced with regularizers of different smoothness and show that the latter result in a more robust optimization.
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DOI: 10.2514/6.2020-3130
Zitationen: 2
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Angewandte und Numerische Mathematik (IANM)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 06.2020
Sprache Englisch
Identifikator ISBN: 978-1-62410-598-2
KITopen-ID: 1000127978
Erschienen in AIAA Aviation Forum, Session: Aerodynamic Design and Shape Optimization II
Veranstaltung AIAA Aviation Forum (2020), Online, 15.06.2020 – 19.06.2020
Verlag American Institute of Aeronautics and Astronautics
Vorab online veröffentlicht am 08.06.2020
Schlagwörter Aerodynamic Design and Shape Optimization, Sensitivity Analysis, Optimization
Nachgewiesen in Scopus
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