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Estimation of Peak Factors for Tall Buildings Subjected to Wind-Induced Pressures
Abstract The peak factor for non-Gaussian fluctuating pressures occurring in the flow-separated regions of a rectangular tall building has been evaluated based on three translation-based Hermite methods, basic Hermite Model (HM), Revised Hermite Model (RHM), and Modified Hermite Model (MHM), with parameters evaluated from Yang (MHM-Yang). The evaluated peak factors have been compared with observed values from the data and other Hermite-based models of peak factors available in the literature. The relative performance of the models toward evaluation of peak factors, especially in the regions of flow separation, has been assessed. It has been observed that use of data-driven Hermite-based models could provide a better and realistic estimate of peak factor, as compared to that offered by Gaussian framework.
Estimation of Peak Factors for Tall Buildings Subjected to Wind-Induced Pressures
Abstract The peak factor for non-Gaussian fluctuating pressures occurring in the flow-separated regions of a rectangular tall building has been evaluated based on three translation-based Hermite methods, basic Hermite Model (HM), Revised Hermite Model (RHM), and Modified Hermite Model (MHM), with parameters evaluated from Yang (MHM-Yang). The evaluated peak factors have been compared with observed values from the data and other Hermite-based models of peak factors available in the literature. The relative performance of the models toward evaluation of peak factors, especially in the regions of flow separation, has been assessed. It has been observed that use of data-driven Hermite-based models could provide a better and realistic estimate of peak factor, as compared to that offered by Gaussian framework.
Estimation of Peak Factors for Tall Buildings Subjected to Wind-Induced Pressures
Keerthana, M. (Autor:in) / Harikrishna, P. (Autor:in)
02.08.2018
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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