비정규성을 고려한 극치 풍압 추정 방법에 대한 연구

This study investigates the estimation of extreme wind pressures on a long-span roof structure using non-Gaussian translation methods. Although various approaches have been proposed in previous studies, inconsistencies remain in how extreme values of non-Gaussian pressure processes are modeled. To address this issue, four representative translation techniques—two based on cumulative distribution function mapping and two based on Hermite polynomial formulations—were applied to wind tunnel data obtained from a long-span roof structure. The comparative analysis focused on how each method represented the statistical characteristics of pressure time histories, with particular emphasis on the distribution tails. The results indicate that the CDF-based approaches tended to produce less stable extreme value estimates than the Hermite polynomial–based methods. In contrast, the second Hermite polynomial model (HPM2) demonstrated the most stable and consistent estimation performance, yielding reliable extreme values even in the tail region of the pressure distribution. Owing to its robustness across both weakly and strongly non-Gaussian conditions, HPM2 is recommended as a practical and reliable method for estimating design wind pressure extremes. When the kurtosis is lower than 4, the Sadek–Simiu method (SAD) can also be efficiently used in terms of computational simplicity, whereas HPM2 is recommended for cases with kurtosis ≥ 4.