Identification of Wind Loads on Supertall Buildings Using Kalman Filtering–Based Inverse Method
Publication: Journal of Structural Engineering
Volume 143, Issue 4
Abstract
A Kalman filtering–based inverse method for identification of wind forces on supertall buildings is proposed. The new approach allows simultaneously estimating the wind loads and entire wind-induced responses of a supertall building using only a limited set of measurements. The effectiveness and good accuracy of the proposed algorithm are validated with experimental results. The wind loads acting on a supertall building are estimated based on the wind-induced responses determined from wind-tunnel testing. The stability of the proposed algorithm is evaluated. The effects of several key factors such as measurement noise, errors of structural modal parameters, and covariance matrix of noise on the identification accuracy are examined and discussed using the L-curve method. Finally, the identified wind loads on the supertall building based on field-measured displacements were compared with the wind-tunnel testing results to further verify the effectiveness of the inverse technique.
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Acknowledgments
The work described in this paper was fully supported by grants from the National Natural Science Foundation of China (Project Nos. 51208404, 51478371, and 51178179) and a grant from the Fok Ying Tong Education Foundation, China (Project No. 141074).
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Published In
Journal of Structural Engineering
Volume 143 • Issue 4 • April 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: Feb 17, 2016
Accepted: Sep 8, 2016
Published online: Oct 25, 2016
Discussion open until: Mar 25, 2017
Published in print: Apr 1, 2017
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