Abstract
This paper presents implementation of a reliability-based design optimization (RBDO) for Nonlinear Energy Sink (NES) system. The RBDO is implemented with consideration of uncertainties in structural system's parameters and ground acceleration. Negative stiffness based NES and sliding friction are utilized to enhance passive targeted energy transfer from the primary structure to the proposed control device. For a one-story steel moment resistant frame, shake table tests were carried out to show effectiveness of the NES, and the results are used to validate numerical models. Sensitivity analysis is carried out to demonstrate the performance envelops of the proposed control strategy for different stiffness ratios and peak ground acceleration values. Reliable performance of the proposed controller, through tuning parameters of the proposed NES, are determined through the RBDO framework. To reduce computational time, polynomial-chaos-based Kriging surrogate model is used in the RBDO analysis. The numerical results demonstrate efficiency of finding optimal design parameters of the proposed NES system under uncertainties with reasonable computational effort.
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