دانلود مقاله ISI انگلیسی شماره 26076
ترجمه فارسی عنوان مقاله

قابلیت اطمینان و تجزیه و تحلیل حساسیت از فلوتر فراصوتی با استفاده از تکنیک خط نمونه بهبودیافته

عنوان انگلیسی
Reliability and Sensitivity Analysis of Transonic Flutter Using Improved Line Sampling Technique
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
26076 2009 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Chinese Journal of Aeronautics, Volume 22, Issue 5, October 2009, Pages 513–519

ترجمه کلمات کلیدی
بال بال زدن - روش نمونه خط - شبیه سازی مونت کارلو - عدم اطمینان - مدل کاهش مرتبه
کلمات کلیدی انگلیسی
flutter, aeroelastic, line sampling technique, Monte Carlo simulation, uncertainty, reduced order model,
پیش نمایش مقاله
پیش نمایش مقاله   قابلیت اطمینان و تجزیه و تحلیل حساسیت از فلوتر فراصوتی با استفاده از تکنیک خط نمونه بهبودیافته

چکیده انگلیسی

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.