Multistep and Multiparameter Identification Method for Bridge Cable Systems
Publication: Journal of Bridge Engineering
Volume 23, Issue 1
Abstract
Because complex cable systems are widely used in engineering practice, the issues related to parameter identification of complex cable systems are becoming increasingly important. In this study, a universal characteristic frequency equation, considering boundary conditions, various lateral forces, and multiple factors pertaining to cables simultaneously, was established for a class of cable systems installed with intermediate lateral components. The optimization model corresponding to the equation was established to transform the root-finding problem of the complicated transcendental equation into a relatively simple parameter identification and optimization problem. Thereafter, a parameter identification scheme for complicated cable systems was proposed using the particle swarm optimization algorithm. Through experimental tests using a full-scale cable–damper system, a detailed multistep, multiparameter identification program was presented for complex cable systems. The experimental results, achieved effectively using the proposed method, indicate a significant reduction in parameter identification errors and improvement in identification quality.
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Acknowledgments
This work was supported by the State High-Tech Development Plan (863 Program) (Grant 2014AA110402), Ministry of Transport of the People's Republic of China (Grant 2015318J38230), National Natural Science Foundation of China (Grants 51508405 and 51608378), Science and Technology Commission of Shanghai Municipality (Grants 17DZ1204301 and 17DZ1204103), and Shanghai Urban Construction Design Research Institute Project “Bridge Safe Operation Big Data Acquisition Technology and Structure Monitoring System Research.”
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Published In
Journal of Bridge Engineering
Volume 23 • Issue 1 • January 2018
Copyright
© 2017 American Society of Civil Engineers.
History
Received: Nov 16, 2016
Accepted: Jun 1, 2017
Published online: Oct 25, 2017
Published in print: Jan 1, 2018
Discussion open until: Mar 25, 2018
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