Technical Papers
Jan 14, 2020

Extraction of Nonlinear Aerodynamic Damping of Crosswind-Excited Tall Buildings from Aeroelastic Model Tests

Publication: Journal of Engineering Mechanics
Volume 146, Issue 3

Abstract

This paper presents a new approach for extracting nonlinear aerodynamic damping of crosswind-excited tall buildings from response statistics at different levels of structural damping obtained from aeroelastic model tests. The aerodynamic damping at a given wind speed was modeled as a polynomial function of the amplitude of the harmonic building motion, which leads to analytical solutions of the standard deviation (SD) and kurtosis of the crosswind response under stochastic load excitation. As an inverse problem of response analysis, the nonlinear aerodynamic damping model coefficients can be identified from known response SD and kurtosis through a nonlinear optimization algorithm. The crosswind loading spectrum at the structural frequency can be determined from rigid model testing or treated as an unknown. The accuracy of this identification scheme is first illustrated using crosswind response of a tall building calculated from a given nonlinear damping model. It is then applied to a square-shaped tall building using aeroelastic model testing data under boundary-layer flows. The limitation of the conventional approach, which did not account for the response kurtosis, is highlighted. With the proposed approach, the effect of approaching flow characteristics on crosswind aerodynamic damping is examined.

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Acknowledgments

This study was funded by the 111 Project (B18062) and the 1000 Foreign Experts Program (B13002) in China, the Fundamental Research Funds for the Central Universities (No. 106112017CDJQJ208849), and National Natural Science Foundation of China (No. 51720105005). These supports are sincerely acknowledged.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 146Issue 3March 2020

History

Received: Aug 30, 2018
Accepted: Aug 19, 2019
Published online: Jan 14, 2020
Published in print: Mar 1, 2020
Discussion open until: Jun 14, 2020

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Authors

Affiliations

Ph.D. Candidate, Beijing’s Key Laboratory of Structural Wind Engineering and Urban Wind Environment, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China (corresponding author). Email: [email protected]
Xinzhong Chen, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, National Wind Institute, Texas Tech Univ., Lubbock, TX 79409; School of Civil Engineering, Chongqing Univ., Chongqing 400045, China. Email: [email protected]
Qingshan Yang [email protected]
Professor, School of Civil Engineering, Chongqing Univ., Chongqing 400045, China. Email: [email protected]

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