Acceleration response-based adaptive strategy for vibration control and location optimization of magnetorheological dampers in multistoried structures

Optimization and deployment of control systems with multiple control devices incorporated into a structure is a daunting task. The optimum location of the control device is intrinsically connected to the design parameters of the control algorithm. The positioning technique should be effectively embedded in the control algorithm for efficient structural control employing semiactive control devices. This paper presents an acceleration-response-based adaptive (ARBA) algorithm entrenched with the device placement optimization algorithm. The summation of the overall acceleration response of each floor of the structure is considered as the performance criterion of the proposed control strategy. The versatility of this method stems from the fact that the MR damper control and position design algorithm can be developed and designed to meet the performance needs of the system. Only a 5-story steel frame is deliberated since the numerical simulation is followed with experimental verification of control systems on the shake table. From the results of the numerical simulation, it was concluded that the positions of MR dampers are closely linked to the output goal of the control strategy selected by the designer. Furthermore, the ARBA strategy's configuration and corresponding structural control outperformed the benchmark controller. For various sets of ground movements, the numerical findings were experimentally tested on a shake table and compared to the corresponding passive control strategies. The findings showed that ARBA strategies outperformed uncontrolled and passive control strategies in mitigating the acceleration response of the structure and thereby enhancing the serviceability performance of the structure during dynamic excitations.