4.3 Article

Reduced-order modelling of non-linear, transient aerodynamics of the HIRENASD wing

期刊

AERONAUTICAL JOURNAL
卷 120, 期 1226, 页码 601-626

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/aer.2016.12

关键词

aeroelasticity; reduced order modeling; surrogate modeling; neural networks; proper orthogonal decomposition; HIRENASD

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In this paper, a surrogate model approach for non-linear aerodynamics is presented in order to reduce the computational effort of coupled aeroelastic analyses. The usability of the approach is demonstrated in static as well as transient aeroelastic analyses of the HIRENASD wing-fuselage configuration. Furthermore, it is shown that the surrogate model approach is able to cover variations of flow conditions at a fixed Mach and Reynolds number.

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