Aerodynamic damping; Buffeting response; Itô’s lemma; Non-stationary wind; State augmentation method; Stochastic differential equation; Augmentation methods; Buffeting analysis; Ito’s lemma; Nonstationary; State augmentation; Stochastic differential equations; Statistical and Nonlinear Physics; Civil and Structural Engineering; Nuclear Energy and Engineering; Condensed Matter Physics; Aerospace Engineering; Ocean Engineering; Mechanical Engineering
Abstract :
[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 wind, the excitation will be a non-stationary process, and the wind-structure 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 non-stationary buffeting of a model bridge tower subjected to 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 the Monte Carlo method and the pseudo excitation method. The result shows that the state augmentation method has higher accuracy and efficiency than the well-accepted time–frequency techniques.
Disciplines :
Civil engineering
Author, co-author :
Lei, Simian ; Université de Liège - ULiège > Urban and Environmental Engineering ; State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China ; Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai, China ; Key Laboratory of Transport Industry of Bridge Wind Resistance Technologies, Tongji University, Shanghai, China ; DICAM, University of Bologna, Bologna, Italy
Cui, Wei ; State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China ; Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai, China ; Key Laboratory of Transport Industry of Bridge Wind Resistance Technologies, Tongji University, Shanghai, China
Patruno, Luca; DICAM, University of Bologna, Bologna, Italy
De Miranda, Stefano; DICAM, University of Bologna, Bologna, Italy
Zhao, Lin; State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China ; Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai, China ; Key Laboratory of Transport Industry of Bridge Wind Resistance Technologies, Tongji University, Shanghai, China
Ge, Yaojun; State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China ; Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai, China ; Key Laboratory of Transport Industry of Bridge Wind Resistance Technologies, Tongji University, Shanghai, China
Language :
English
Title :
Improved state augmentation method for buffeting analysis of structures subjected to non-stationary wind
NSCF - National Natural Science Foundation of China CSC - China Scholarship Council
Funding text :
The study was supported by the National Natural Science Foundation of China (grant No. 51978527 and 52008314 ) and the China Scholarship Council (No. 202106260170 ).
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