Abstract

In hybrid simulation, response time history measured from experimental substructure can be utilized to identify the model associated with the tested specimen in real time. To improve the modeling accuracy, the updated model parameters can substitute the initial parameters of similar components (as the tested specimen) that reside in the numerical substructure. In this study, a detailed investigation on the fidelity improvement using model updating in hybrid simulation is delivered. This study focused on both local and global assessment of hybrid simulation with model updating (HSMU) by comparing HSMU with conventional simulation and shake table testing. In the local assessment, the updating efficiency with different nonlinear models (one phenomenological model, and one FEM model) are illustrated; in the global assessment, the HSMU response time histories are compared to the shake table testing. Observations and comments on model selection, parameter convergence, and time and frequency domain performance of HSMU are provided.

Highlights

  • Hybrid simulation was initially introduced by Hakuno et al (1969) and Mahin and Shing (1985) and is typically viewed as a cost-effective method for dynamic analysis of infrastructures

  • For hybrid simulation with model updating (HSMU), the fidelity of testing depends on the reduction of the modeling error in the numerical substructure, which is governed by the success of the model updating module

  • Some observations are made: (1) the first and second modes are off for Sim-BW and Sim-BL after updating cases (HSMUBW and HSMU-BL) have improved their accuracy; (2) the Bouc-Wen model overestimated the damping of the structure, even after the model updating, and, in contrast, the bilinear model always underestimated this damping/energy dissipation; (3) results indicate the model updating is effective for both models

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Summary

INTRODUCTION

Hybrid simulation was initially introduced by Hakuno et al (1969) and Mahin and Shing (1985) and is typically viewed as a cost-effective method for dynamic analysis of infrastructures. Structural components are (1) expected to experience significant nonlinearity or (2) difficult to model accurately and are tested physically and are known as the experimental substructure. These components, with their appearance patterns repetitively and spatially distributed among the entire structure design, do not have a substantially different role between one component to the other (Elnashai et al, 2008) To investigate their performance in a hybrid simulation setup, a couple of challenges need to be addressed. The hybrid simulation fidelity is affected by modeling accuracy of numerical components rather than the response of their physical counterparts. In the state-of-the-art study, the HSMU used the following assumptions: the model updating method is adaptive to the ground motion and can identify a converged set of numerical parameters of the model; and the local performance assessment can indicate the fidelity of the HSMU. Conclusions will be addressed from the point of view of both the time and frequency domain analyses

HSMU FORMULATION AND IMPLEMENTATION
EXPERIMENTAL SETUP AND SUBSTRUCTURING FOR HYBRID SIMULATION
HSMU Case I
HSMU PERFORMANCE ASSESSMENT
HSMU Local Performance Assessment
Global Response Comparison Between HSMU and Shake Table Testing
Findings
CONCLUSION

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