Reliability and Sensitivity Analysis of Transonic Flutter Using Improved Line Sampling Technique

Song Shufang, Lu Zhenzhou, Zhang Weiwei, Ye Zhengyin

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

The improved line sampling (LS) technique, an effective numerical simulation method, is employed to analyze the probabilistic characteristics and reliability sensitivity of flutter with random structural parameter in transonic flow. The improved LS technique is a novel methodology for reliability and sensitivity analysis of high dimensionality and low probability problem with implicit limit state function, and it does not require any approximating surrogate of the implicit limit state equation. The improved LS is used to estimate the flutter reliability and the sensitivity of a two-dimensional wing, in which some structural properties, such as frequency, parameters of gravity center and mass ratio, are considered as random variables. Computational fluid dynamics (CFD) based unsteady aerodynamic reduced order model (ROM) method is used to construct the aerodynamic state equations. Coupling structural state equations with aerodynamic state equations, the safety margin of flutter is founded by using the critical velocity of flutter. The results show that the improved LS technique can effectively decrease the computational cost in the random uncertainty analysis of flutter. The reliability sensitivity, defined by the partial derivative of the failure probability with respect to the distribution parameter of random variable, can help to identify the important parameters and guide the structural optimization design.

Original languageEnglish
Pages (from-to)513-519
Number of pages7
JournalChinese Journal of Aeronautics
Volume22
Issue number5
DOIs
StatePublished - Oct 2009

Keywords

  • Monte Carlo simulation
  • aeroelastic
  • flutter
  • line sampling technique
  • reduced order model
  • uncertainty

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