CONSIDERATION OF THE PROBABILITY DENSITY OF ARTIFICIALLY GENERATED APPROACHING FLOW USING WIND TUNNEL

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Turbulent characteristics of the pedestrian-level winds around buildings are determined by both aerodynamic effects due to surrounding buildings and the innate turbulent characteristic of the approaching flow. Although previous research has stochastically investigated the probability density function of the pedestrian-level winds altered by the surrounding buildings, those of an approaching flow have not been studied adequately. Therefore, this study aims at investigating the relationship between high-order statistics and probability density functions of a typical approaching flow following the power-law and Karman-type power spectrum density. First, we discussed the theoretical relationship between the statistics and the probability density functions for Gaussian and modified Gaussian distributions. It showed that the high order statistics can be indices to consider an appropriate model for describing the probability density function of the approaching flow. Second, we demonstrated that the modified Gaussian distribution can well describe the probability of the approaching flow. This study contributes to the framework for illustrating and considering stochastic information of approaching flow while addressing wind environments based on stochastic analyses.

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