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Award ID contains: 1852678

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  1. The data set shared herein is related to the test results of a set aeroelastic experiments, carried out in the wind tunnel of SOH Wind Engineering LLC. in Williston, VT (USA). The dynamic wind response of an aeroelastic super-tall building model with external guy wire support (bracing) was examined. The wind tunnel data are made available to the research community. 
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  2. This paper describes a novel numerical algorithm for the simulation of the along-wind dynamic response of a prototype of slender towers under turbulent winds, using a Layered Stochastic Approximation Monte Carlo algorithm (LSAMC). The proposed algorithm is applied to derive the statistics of the dynamic response in the presence of uncertainties in the structural properties and in the wind loading. Standard “brute force” Monte-Carlo methods are also used for validating the LSAMC results. The proposed methodology efficiently estimates structural fragility curves under extreme wind loads. The methodology enables a significant speedup in the computing time compared to standard Monte Carlo sampling. Furthermore, it is demonstrated that accuracy in the estimation of structural fragility curves is superior to ordinary reliability methods (e.g. “First-order reliability methods” or FORM). 
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