TY - JOUR
T1 - Reliability and Sensitivity Analysis of Transonic Flutter Using Improved Line Sampling Technique
AU - Shufang, Song
AU - Zhenzhou, Lu
AU - Weiwei, Zhang
AU - Zhengyin, Ye
PY - 2009/10
Y1 - 2009/10
N2 - 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.
AB - 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.
KW - Monte Carlo simulation
KW - aeroelastic
KW - flutter
KW - line sampling technique
KW - reduced order model
KW - uncertainty
UR - http://www.scopus.com/inward/record.url?scp=70449123935&partnerID=8YFLogxK
U2 - 10.1016/S1000-9361(08)60134-X
DO - 10.1016/S1000-9361(08)60134-X
M3 - 文章
AN - SCOPUS:70449123935
SN - 1000-9361
VL - 22
SP - 513
EP - 519
JO - Chinese Journal of Aeronautics
JF - Chinese Journal of Aeronautics
IS - 5
ER -