Identification of amplitude-dependent aerodynamic damping from free vibration data using iterative unscented kalman filter-Reference-Cited by-同舟云学术

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Identification of amplitude-dependent aerodynamic damping from free vibration data using iterative unscented kalman filter

Published:2024-10 Issue: Volume:253 Page:105850
ISSN:0167-6105
Container-title:Journal of Wind Engineering and Industrial Aerodynamics
language:en
Short-container-title:Journal of Wind Engineering and Industrial Aerodynamics

Author:

Zhang Mingjie^ORCID,Petersen Øyvind Wiig,Øiseth Ole Andre,Xu Fuyou

Funder

Fundamental Research Funds for the Central Universities

National Aerospace Science Foundation of China

Support Program for Longyuan Youth and Fundamental Research Funds for the Universities of Gansu Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference24 articles.

1. A critical review of nonlinear damping identification in structural dynamics: methods, applications, and challenges;Al-Hababi;Sensors,2020

2. The Failure of the Tacoma Narrows Bridge;Amman,1941

3. Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations;Chen;J. Build. Eng.,2023

4. Modelling nonlinear aerodynamic damping during transverse aerodynamic instabilities for slender rectangular prisms with typical side ratios;Gao;J. Wind Eng. Ind. Aerod.,2020

5. Extraction of nonlinear aerodynamic damping of crosswind-excited tall buildings from aeroelastic model tests;Hao;J. Eng. Mech.,2020

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