Uncertainty Quantification and Simulation of Wind-Tunnel-Informed Stochastic Wind Loads
Thays G. A. Duarte,
Srinivasan Arunachalam,
Arthriya Subgranon
et al.
Abstract:The simulation of stochastic wind loads is necessary for many applications in wind engineering. The proper-orthogonal-decomposition-(POD)-based spectral representation method is a popular approach used for this purpose, due to its computational efficiency. For general wind directions and building configurations, the data-informed POD-based stochastic model is an alternative that uses wind-tunnel-smoothed auto- and cross-spectral density as input, to calibrate the eigenvalues and eigenvectors of the target load… Show more
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