Abstract

Information on natural frequencies and damping ratios is essential for structural dynamic analysis. To develop predictive models of modal parameters applicable for modern high-rise buildings with increasing heights, an advanced interferometric radar system was employed to measure the displacement responses of 38 supertall buildings with heights ranging from 200 to 600 m under ambient excitations. Then, a combined approach of the stochastic subspace method and an uncertainty bound estimation method are adopted for modal identification, and its accuracy is validated by a numerical simulation study. By applying the modal identification method to the field measurements, modal parameters of the 38 supertall buildings are identified. Based on these results, predictive models for fundamental natural frequency and damping ratio of supertall buildings are accordingly proposed, which are more applicable for the wind-resistant serviceability assessment or design of high-rise buildings with heights over 200 m than existing empirical models.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors gratefully acknowledge the support from the Research Grants Council of Hong Kong Special Administrative Region (Grant No. CityU 11207519) and the National Science Foundation of China (Grant No. 51778554).

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 149Issue 4April 2023

History

Received: Jul 30, 2022
Accepted: Dec 2, 2022
Published online: Feb 1, 2023
Published in print: Apr 1, 2023
Discussion open until: Jul 1, 2023

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Postgraduate Student, School of Civil Engineering, Central South Univ., Changsha 410075, China. Email: [email protected]
Chair Professor, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Kowloon 999077, Hong Kong; Director, Architecture and Civil Engineering Research Center, Shenzhen Research Institute, City Univ. of Hong Kong, Shenzhen 518057, China (corresponding author). ORCID: https://orcid.org/0000-0002-4822-2863. Email: [email protected]
Associate Professor, College of Civil Engineering, Hefei Univ. of Technology, Hefei 230009, China. Email: [email protected]
Ph.D. Candidate, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Kowloon 999077, Hong Kong. ORCID: https://orcid.org/0000-0001-5517-6271. Email: [email protected]
Jun-Wen Wan [email protected]
Postgraduate Student, School of Civil Engineering, Central South Univ., Changsha 410075, China. Email: [email protected]

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