[en] Extreme winds such as hurricanes and thunderstorms often present non-stationary characteristics, having time-varying mean wind speeds and non-stationary wind fluctuations. When concerning the wind-induced vibrations under non-stationary winds, the excitation will be a non-stationary process, and the windstructure coupled system can be represented by a linear time-varying system. The aim of this study is to present a state augmentation method to investigate the non-stationary buffeting of a model bridge tower subjected to a non-stationary wind with consideration of the aeroelastic damping. Based on the theories of stochastic differential equations and Itô's lemma, the statistical moments of the non-stationary buffeting response are derived through solving a first-order ordinary differential equation system. The proposed method is validated by comparisons with Monte Carlo simulations. The result shows that the state augmentation method has higher accuracy and efficiency than the well-known Monte Carlo method.
Disciplines :
Civil engineering
Author, co-author :
Lei, Simian ; Université de Liège - ULiège > Urban and Environmental Engineering ; Tongji University, Shanghai, China ; University of Bologna, Bologna, Italy
Cui, Wei; Tongji University, Shanghai, China
Patruno, Luca; University of Bologna, Bologna, Italy
De Miranda, Stefano; University of Bologna, Bologna, Italy
Zhao, Lin; Tongji University, Shanghai, China
Ge, Yaojun; Tongji University, Shanghai, China
Language :
English
Title :
State augmentation method for buffeting analysis of structures subjected to non-stationary wind
Publication date :
September 2022
Event name :
17th Conference of the Italian Association for Wind Engineering
Event place :
Milan, Italy
Event date :
from 4 to 7 September 2022
Audience :
International
Main work title :
Proceedings of the 17th Conference of the Italian Association for Wind Engineering
Publisher :
Italian Association for Wind Engineering, Milan, Italy
