In estimating the wind-induced responses through time-history analysis based on stationary random process, its responsive value must be dealt with numerous numbers of statistics. However, the designing value is often determined from the small number of samples because of limited time and expense in practice. So, it is important and necessary to estimate dispersion of wind response from small number of samples.
In this paper, the influence on wind responses of elastoplastic multi-degree of freedom system model due to the difference in the number of samples used as an ensemble average is elucidated.
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