Identifying Modal Parameters of a Multispan Bridge Based on High-Rate GNSS–RTK Measurement Using the CEEMD–RDT Approach
Publication: Journal of Bridge Engineering
Volume 26, Issue 8
Abstract
This article aims to develop a hybrid approach of complementary ensemble empirical mode decomposition (CEEMD) and random decrement technique (RDT) for identifying the modal parameters (i.e., natural frequency and damping ratio) of structures using high-rate (50 Hz) global navigation satellite system and real-time kinematic (GNSS–RTK) measurement data. The framework of the proposed approach included two stages: (1) CEEMD was first used to derive a set of single-component signals, called intrinsic mode functions (IMFs); and (2) RDT was employed to extract the free decaying signals from the IMFs, including the main frequency information of structures. Subsequently, a three-story shear building model and an actual multispan bridge were used to validate the proposed approach. Additionally, a finite-element (FE) model of the bridge was built for comparing with the experimental case. Finally, the results indicated that the GNSS–RTK technique is capable of monitoring the dynamic displacements of multispan bridges with reliable accuracy. The proposed method performed better than the classical natural excitation technique—eigensystem realization algorithm (NExT–ERA) and stochastic subspace identification (SSI) algorithm—and was viable in practical applications.
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Acknowledgments
The authors would like to gratefully acknowledge the support from the National Natural Science Foundation of China (U1709216), the National Key R&D Program of China (2018YFE0125400), and the Center for Balance Architecture of Zhejiang University, which made the research work possible.
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Journal of Bridge Engineering
Volume 26 • Issue 8 • August 2021
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© 2021 American Society of Civil Engineers.
History
Received: Jul 25, 2020
Accepted: Apr 9, 2021
Published online: Jun 1, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 1, 2021
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