Investigation of stochastic simulation into helicopter structural crash after autorotation scenarios

This paper investigates the helicopter crash impacts on the airframe after an engine-out autorotation scenario by using a stochastic simulation methodology. A stochastic simulation scheme, combining C++ with Ls-Dyna, is developed by the six input flight parameters. The values of these variables are randomly selected in a uniform distribution database, the range of which is determined by flight simulation results under autorotation scenarios. The result is analysed by scattering the maximums of the stochastic simulation responses, which reflect the correlation between the G load at the occupant's seat position and the input sink rate. The correlation contour differs slightly when the data volume is reduced. By parameterizing included angles of the correlation contours between the initial data and reduced size data sets, we can draw a robustness of accuracy level against the data size. A credible robustness is observed to be more apparently when it has numerous repetitions.