Seismic Response Prediction of Open- and Closed-Loop Structural Control Systems Using a Multi-State-Dependent Parameter Estimation Approach

Abstract

In this paper, a new modified multi-state-dependent parameter (MSDP) model estimation method is proposed with the aim of application for seismic response prediction of open- and closed-loop structural control systems. In the first phase, the recursive Kalman filtering is improved and an improved recursive fixed interval-smoothing algorithm is then proposed in the second phase. The numerical studies are conducted on a seismic-excited 3-story benchmark structure in three cases of open-loop structural system, open-loop structural control with tuned mass damper (TMD) as a passive device, and closed-loop structural control with an active tendon system (ATS). Using the proposed MSDP models, the time-histories of acceleration of the floors are predicted during earthquakes and the validation of the proposed models is evaluated with those given by the finite element method (FEM) of OpenSees software. Using three evaluation criteria, the superiority of the modified MSDP over the MSDP is found. The simulation results show that the proposed models are capable of following the seismic responses of the structure well and estimating them with high accuracy in further time steps. With high accuracy and lower computational cost, the surrogate models can be easily utilized in optimal design processes of the passive device for the open-loop structural control and the active control algorithm for the closed-loop structural control and structural health monitoring (SHM) applications.