Estimates of probability distribution of root-mean-square gust velocity of atmospheric turbulence from operational gust-load data by random-process theory /

Airplanes.Uunder the assumpiton that the operational gust or gust-load history of an airplane is a Gaussian random process with a single parameter, the root-mean-square values, relations are derived between the probability distribution of the root-mean-square acceleration and the associated number of peak accelerations above given values. These relations are then used in the analysis of available operational gust-load data in the form of peak counts to derive estimates of the probability distributions of root-square-mean acceleration. These probability distributions are then transformed on the basis of airplane-gust-response theory in order to derive the associated probability distribution of root-mean-square gust velocity. The application of these results to the calculation of load histories is also considered briefly.Includes three errata sheets.NACA TN No. 3362.Includes bibliographical references.Airplanes.Uunder the assumpiton that the operational gust or gust-load history of an airplane is a Gaussian random process with a single parameter, the root-mean-square values, relations are derived between the probability distribution of the root-mean-square acceleration and the associated number of peak accelerations above given values. These relations are then used in the analysis of available operational gust-load data in the form of peak counts to derive estimates of the probability distributions of root-square-mean acceleration. These probability distributions are then transformed on the basis of airplane-gust-response theory in order to derive the associated probability distribution of root-mean-square gust velocity. The application of these results to the calculation of load histories is also considered briefly.Mode of access: Internet