Stochastic analysis of a nonlinear aeroelastic model using the response surface method

Published

Journal Article

An efficient method is presented for quantifying the effect of parametric uncertainty on the response of a nonlinear aeroelastic system. The proposal stochastic model uses a response surface method to map the random input parameters of the system to the specified system output (in this instance root-mean square wing tip response). To handle the bifurcation in the response surface due to aeroelastic self-excited instability, the response surface model is fit using a two region regression. The results from this model are compared to those from a full Monte Carlo simulation for both a one-dimensional random input parameter model (thickness) and a two-dimensional random input parameter model (thickness and modulus of elasticity). The response surface method results compare favorably with the full model results while achieving a 2 to 3 order of magnitude gain in computational efficiency. Copyright © 2006 by the American Institute of Aeronautics and Astronautics, Inc.

Full Text

Duke Authors

Cited Authors

  • Attar, PJ; Dowell, EH

Published Date

  • July 1, 2006

Published In

Volume / Issue

  • 43 / 4

Start / End Page

  • 1044 - 1052

International Standard Serial Number (ISSN)

  • 0021-8669

Digital Object Identifier (DOI)

  • 10.2514/1.17525

Citation Source

  • Scopus