[en] Extreme winds such as hurricanes and thunderstorms often present non-stationary characteristics, having time-varying mean wind speeds and nonstationary 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 (LTV) system. The aim of this study is to present a state augmentation method to investigate the nonstationary buffeting of a model bridge tower subjected to a non-stationary wind with consideration of the aeroelastic damping. Based on the theory 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 ; PhD student, Department of Bridge Engineering, College of Civil Engineering, Tongji University, China ; visiting PhD student, DICAM, University of Bologna, Italy
Cui, Wei
Patruno, Luca
De Miranda, Stefano
Zhao, Lin
Ge, Yaojun
Language :
English
Title :
State augmentation method for buffeting analysis of structures subjected to non-stationary wind
Publication date :
September 2022
Event name :
8th European-African Conference on Wind Engineering
Event place :
Bucharest, Romania
Event date :
from 20 to 23 September 2022
Audience :
International
Main work title :
Proceedings of the 8th European-African Conference on Wind Engineering
Publisher :
8th European-African Conference on Wind Engineering, Bucharest, Romania
