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Smart Structures and Systems
  Volume 15, Number 2, February 2015 , pages 425-445

Parametric identification of a cable-stayed bridge using least square estimation with substructure approach
Hongwei Huang, Yaohua Yang and Limin Sun

    Parametric identification of structures is one of the important aspects of structural health monitoring. Most of the techniques available in the literature have been proved to be effective for structures with small degree of freedoms. However, the problem becomes challenging when the structure system is large, such as bridge structures. Therefore, it is highly desirable to develop parametric identification methods that are applicable to complex structures. In this paper, the LSE based techniques will be combined with the substructure approach for identifying the parameters of a cable-stayed bridge with large degree of freedoms. Numerical analysis has been carried out for substructures extracted from the 2-dimentional (2D) finite element model of a cable-stayed bridge. Only vertical white noise excitations are applied to the structure, and two different cases are considered where the structural damping is not included or included. Simulation results demonstrate that the proposed approach is capable of identifying the structural parameters with high accuracy without measurement noises.
Key Words
    parametric identification; cable-stayed bridge; least square estimation; substructure approach
Hongwei Huang and Limin Sun: State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China;
Department of Bridge Engineering, Tongji University, Shanghai, China
Yaohua Yang: Department of Bridge Engineering, Tongji University, Shanghai, China

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