期刊
AEROSPACE SCIENCE AND TECHNOLOGY
卷 52, 期 -, 页码 29-40出版社
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ast.2016.02.015
关键词
Gust loads; State-space aeroelasticity; Reduced Order Model; Flexible aircraft; Correlated loads
资金
- European Commission (EC FP7) under the Marie Curie European Industrial Doctorate Training Network ALPES (Aircraft Loads Prediction using Enhanced Simulation) [607911]
- Royal Academy of Engineering
A parametric reduced order methodology for loads estimation is described that produces a fast and accurate prediction of gust and manoeuvre loads for different flight conditions and structural parameter variations. The approach enables efficient prediction of the peak loads whilst maintaining the correlated time histories for different loads. It is then possible to determine correlated loads plots with reduced computation without losing accuracy. The effectiveness of the methodology is demonstrated by considering loads arising from families of gusts and pitching manoeuvres acting upon a numerical transport aircraft aeroservoelastic model with varying flight conditions and structural properties. (C) 2016 Elsevier Masson SAS. All rights reserved.
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