Abstract: This contribution focuses on the nonsynoptic wind-induced effects on linear bridge aerodynamics. More specifically, the transient nature of the downburst events and its effects on the aerodynamic parameters are investigated. ...

Abstract: The nonstationarities observed in extreme winds (e.g., tropical cyclones and downbursts) are typically characterized by the time-dependent second-order statistics (e.g., power spectra and correlations) for ...

Abstract: An aerodynamic describing function (ADF)-based model for simulating the nonlinear self-excited forces on bridge decks is developed, where the ADFs can be conveniently identified using the experimentally or numerically ...

Abstract: Recent advancements of performance-based wind design of tall buildings have placed increasing importance on effectively modeling of the nonlinear structural dynamic response under extreme storms. However, the numerical ...

Abstract: The frequency content and spatial correlation of nonstationary wind fields during extreme events typically present time-variant characteristics. Several effective schemes [e.g., using evolutionary power spectral density ...

Abstract: The transient wind field during a nonsynoptic wind event (e.g., thunderstorm downburst) presents time-varying mean and nonstationary fluctuating components, and hence is not easy to be reproduced in a conventional ...

Abstract: This study presents a deep convolutional neural network (CNN)-based approach to estimate the dynamic response of a linear single-degree-of-freedom (SDOF) system, a nonlinear SDOF system, and a full-scale 3-story multidegree ...