Parametric reduced order model approach for rapid dynamic loads prediction

Michele Castellani, Yves Lemmens, Jonathan E Cooper

Research output: Contribution to journalArticle (Academic Journal)

8 Citations (Scopus)
291 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)29-40
Number of pages12
JournalAerospace Science and Technology
Volume52
Early online date20 Feb 2016
DOIs
Publication statusPublished - May 2016

Structured keywords

  • ALPES

Keywords

  • Gust loads
  • State-space aeroelasticity
  • Reduced Order Model
  • Flexible aircraft
  • Correlated loads

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