Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multistep and Multiparameter Identification Method for Bridge Cable Systems
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.
Multistep and Multiparameter Identification Method for Bridge Cable Systems
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.
Multistep and Multiparameter Identification Method for Bridge Cable Systems
Dan, Dan-hui (Autor:in) / Xia, Ye (Autor:in) / Xu, Bin (Autor:in) / Han, Fei (Autor:in) / Yan, Xing-fei (Autor:in)
25.10.2017
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Multistep and Multiparameter Identification Method for Bridge Cable Systems
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