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Genetic Algorithm for Optimizing the Gust Loads for Predicting Aircraft Loads and Dynamic Response

  • R. Mehrotra
  • C. L. Karr
  • T. A. Zeiler
Part of the International Series in Intelligent Technologies book series (ISIT, volume 16)

Abstract

A genetic algorithm (GA) is shown to be a feasible approach to determining worst-case gust loads in aircraft structures. The mathematical modeling of extreme turbulence is discussed, as well as methods of analysis and prediction of aircraft response to atmospheric turbulence in the context of aircraft design. A representation of this problem for a GA approach is proposed and results of the technique are presented.

Keywords

Genetic Algorithm Atmospheric Turbulence Normal Acceleration Load Quantity Aircraft Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • R. Mehrotra
  • C. L. Karr
  • T. A. Zeiler

There are no affiliations available

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