Abstract
Aiming at tasks of fatigue spectrum development, buffet fatigue life estimation and strength certification, aircraft buffet problems were investigated by means of establishing a statistical distribution model of peak (or valley) values. But, the selection of probabilistic distribution models had evident effects on determining ultimate load cases, buffet cycles and amplitude distributions under a given flight condition. Five typical models including normal distribution, lognormal distribution, Weibull distribution, Rayleigh distribution and extreme value distribution usually used to describe the probabilistic distribution of peak (or valley) values of buffet fatigue loading were discussed firstly. Based on the probabilistic distributions given by parameters estimation, a distribution fitting index was proposed to evaluate the probabilistic distribution assumptions. Then, the analysis was performed by considering their matching levels between the distribution characteristics and the requirements of buffet loading data processing. The minimum discernible interval and the maximum resolution were acquired with the theory of rough set to eliminate judgment errors. Numerical example proved that this method can meet the requirement of evaluating probabilistic distribution assumptions well.
| Original language | English |
|---|---|
| Pages (from-to) | 6-11 |
| Number of pages | 6 |
| Journal | Zhendong yu Chongji/Journal of Vibration and Shock |
| Volume | 31 |
| Issue number | 5 |
| State | Published - 15 Mar 2012 |
Keywords
- Buffet
- Evaluation index
- Fatigue loading
- Probabilistic distribution
- Resolution
- Rough set