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Predictive Models for Transient Loads of the Vertical Stabilizer of an Aircraft developed using Canonican Correlation Analision

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Knowledge about loads occurring in the structure during aircraft operation is vital from the point of view of the damage tolerance approach to aircraft design. In the best-life scenario, such information could be available from a network of sensors, e.g. strain gauges, installed in the aircraft structure to measure local stresses. However, operational loads monitoring (OLM) systems are still not widely applied. Instead, what is available is a set of flight parameters, which by the laws of inertia and aerodynamics help determine the dominant part of loads acting on a given element. This paper discusses the canonical correlation analysis (CCA) as a method for selecting the flight parameters used to predict aircraft loads. CCA allows for the identification of both different modes of stress distribution as well as flight parameters which are best suited for their prediction. The paper presents the application of this method to identify loads acting on the vertical stabilizer of an aircraft.
Słowa kluczowe
Rocznik
Tom
Strony
41--46
Opis fizyczny
Bibliogr. 7 poz., rys., wykr., wzory
Twórcy
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
autor
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
autor
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
autor
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
autor
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
autor
  • Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warsaw, Poland
Bibliografia
  • [1] C. Osgood. Fatigue Design - 2nd edition. Pergamon Press, 1982.
  • [2] United States National Transportation Safety Board. Aircraft Accident Report NTSB/AAR-89/03.
  • [3] C. Boller and W.J Staszewski. Aircraft structural health and usage monitoring. In W.J. Staszewski, C. Boller, and Tomlinson G.R., editors, Health Monitoring of Aerospace Structures, pages 29-73. John Wiley and Sons, Ltd, 2004.
  • [4] Banks, D. 2000. A Look Into the World of Structural Health Monitoring, Industrial Placement Report, EADS/Sheffield University.
  • [5] Boller, C. 2001. Ways and options for aircraft structural health management, Smart Materials and Structures, Vol. 10, pp. 432-439.
  • [6] https://en.wikipedia.org/wiki/Bending
  • [7] T. Hastie, R. Tibshirani, J. Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, second ed., Springer Science+Business Media, New York, 2009.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-70415457-926b-462b-9f16-b53301a56267
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