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Robust Flutter Analysis Considering Mode Shape Variations

机译:考虑模式形状变化的鲁棒颤振分析

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摘要

Any aircraft analysis model is subject to simplifications to some extent, leading to uncertainties in the nominal model. Therefore, analysis based on the numerical model generally yields errors in the aerodynamic loads, structural behavior, and critical speeds. Robust flutter analysis usually aims at computing a worst-case flutter speed considering these uncertainties, but can also be used to consider larger variations, such as fuel burn. In recent years, so-called μ analysis [1] from the control community has been applied to perform robust flutter analysis [2,3]. Most recently, Borglund [4,5] combined classical frequency-domain aeroelasticity with μ analysis to formulate the μ-k method, being closely related to the p-k and g methods [6,7]. In particular, a simple and efficient μ-k algorithm that takes advantage of data from a p-k or g method analysis is described in [8].
机译:任何飞机分析模型都会在某种程度上进行简化,从而导致标称模型存在不确定性。因此,基于数值模型的分析通常会产生空气动力载荷,结构性能和临界速度方面的误差。稳健的颤振分析通常旨在考虑这些不确定性来计算最坏情况下的颤振速度,但也可用于考虑较大的变化,例如燃料消耗。近年来,来自控制界的所谓的μ分析[1]已用于执行鲁棒的颤动分析[2,3]。最近,Borglund [4,5]将经典的频域气动弹性与μ分析结合起来,制定了μ-k方法,与p-k和g方法密切相关[6,7]。特别是,在[8]中描述了一种简单有效的μ-k算法,该算法利用了来自p-k或g方法分析的数据。

著录项

  • 来源
    《Journal of Aircraft》 |2008年第3期|p.1070-1075|共6页
  • 作者

    Sebastian Heinze; Dan Borglund;

  • 作者单位

    Royal Institute of Technology, 100 44 Stockholm, Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空;
  • 关键词

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