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Smart Structures and Systems
  Volume 35, Number 1, January 2025 , pages 15-28
DOI: https://doi.org/10.12989/sss.2025.35.1.015
 


Novel offline iterative hybrid testing method based on model identification and correction
Tao Wang, Huan Zheng, Guoshan Xu, Zhen Wang and Liyan Meng

 
Abstract
    The iterative hybrid testing (IHT) method, as one novel kinds of real-time hybrid testing (RTHT), provides a new technical support for disclosing the seismic performance of large-scale complex engineering structures. However, the IHT method adopts the methodology of direct whole time-history data exchange between the physical substructure (PS) and the numerical substructure (NS) based on the measured reaction forces of the PS, which results in the problems of slow iteration convergence speed and poor accuracy and stability. For solving these problems, one novel offline iterative hybrid testing method based on model identification and correction (IHT-MIC) is proposed in this paper. In the proposed IHT-MIC, the equivalent Maxwell model is used for precisely modelling the PS by parameter identification, and based on which the reaction force of the PS is corrected to improve the iteration convergence speed, accuracy, and stability. Firstly, the principle of the IHT-MIC is proposed. Furthermore, the numerical simulations and experimental tests are presented for validating the effectiveness and accuracy of the proposed method. It is shown from the numerical and experimental results that the least square method can accurately identify the parameters of Maxwell model, and the Maxwell model can effectively correct the reaction forces of the PS, which indicates that the accuracy of the IHT-MIC is greatly improved. Furthermore, compared with the traditional IHT, the IHT-MIC significantly improves the iteration convergence speed, reduces the oscillation amplitude during the iteration process. The proposed method may have broad application prospects in the fields of engineering structures with velocity-dependent energy dissipators.
 
Key Words
    force correction; hybrid testing; maxwell model; model identification; offline iterative; viscous damper
 
Address
(1) Tao Wang, Huan Zheng, Liyan Meng:
School of Architecture and Engineering, Heilongjiang University of Science and Technology, Harbin 150022, China;
(2) Guoshan Xu:
School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;
(3) Tao Wang, Guoshan Xu:
Key Lab of Structures Dynamic Behavior and Control, Ministry of Education, Harbin Institute of Technology, Harbin 150090, China;
(4) Guoshan Xu:
Key Lab of Intelligent Disaster Mitigation, Ministry of Industry and Information Technology, Harbin 150090, China;
(5) Zhen Wang:
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China;
(6) Zhen Wang:
Hainan Institute of Wuhan University of Technology, Sanya 572000, China.
 

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