Noncontact Operational Modal Analysis of a High-Rise Building Based on an Interferometric Radar System and Combined Modal Estimation Scheme
Publication: Journal of Structural Engineering
Volume 150, Issue 4
Abstract
The dynamic characteristics of large-scale civil structures are generally evaluated by performing operational modal analysis based on ambient vibration records measured by contact sensors, e.g., accelerometers. However, owing to accessibility restrictions, it is sometimes inconvenient to conduct dynamic response measurements by contact sensors. Therefore, there is a need to adopt noncontact measurement technologies for monitoring the dynamic performance of civil structures. On the other hand, only response records are available for operational modal analysis on account of the unknown nature of ambient excitations, which may lead to uncertainties in modal estimates, particularly damping estimates. In this regard, this paper adopts a combined method consisting of modal decoupling, natural excitation technology, and an eigensystem realization algorithm to perform high-accuracy modal identification with uncertainty quantification. Through numerical simulation study of a frame structure, the accuracy and effectiveness of the combined method for identifying structural modal parameters are verified. Then, taking advantage of noncontact simultaneous multipoint measurements by an interferometric radar system and the combined modal estimation scheme, the noncontact operational modal analysis strategy is utilized to evaluate structural dynamic characteristics of a supertall building after experiencing a sudden vibration event that attracted considerable concern from the public. The purpose of this study is to provide a practical and reliable means of conducting modal estimation with uncertainty quantification from a single measurement and suggest a noncontact modal analysis strategy for structures with difficulty installing contact sensors.
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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 work described in this paper was fully supported by grants from the Science, Technology and Innovation Commission of Shenzhen Municipality (Project Nos. SGDX2020110309300301 and JCYJ20220818101201003), the National Natural Science Foundation of China (Project Nos. 51978593 and 52278538), and the Research Grants Council of Hong Kong (Project No. CityU 11204020).
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Published In
Journal of Structural Engineering
Volume 150 • Issue 4 • April 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jun 21, 2023
Accepted: Nov 28, 2023
Published online: Feb 9, 2024
Published in print: Apr 1, 2024
Discussion open until: Jul 9, 2024
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