4.7 Article

Parametric reduced order model approach for rapid dynamic loads prediction

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

  1. European Commission (EC FP7) under the Marie Curie European Industrial Doctorate Training Network ALPES (Aircraft Loads Prediction using Enhanced Simulation) [607911]
  2. Royal Academy of Engineering

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据