TY - JOUR
T1 - Investigation of proposed integrated control strategies based on performance and positioning of MR dampers on shaking table
AU - Wani, Zubair Rashid
AU - Tantray, Manzoor
AU - Noroozinejad Farsangi, Ehsan
PY - 2021
Y1 - 2021
N2 - Most of the studies in the field of structural control are focused on maximizing the performance of control devices without taking into consideration the complex dynamic response of the structure, computational efficiency, performance flexibility, and feedback reliability. Also, the location algorithm of energy dissipation should be concatenated with the control strategy, for effective structural control of multi-story structures. Moreover, in recent years, non-contact measurements using digital image correlation techniques have been adopted and implemented for the monitoring of civil engineering structures. However, its application is restricted to reinforced cement concrete members, involving a lower frequency spectrum, small displacements, and a lower image capture rate. In this study two response-based-adaptive control strategies based on inter-story drift and acceleration response reduction objectives respectively have been proposed. The control strategies are then integrated with the device location algorithm to establish the optimum configuration/location of magnetorheological dampers in addition to the design parameters of the controls system. The performance of proposed strategies is numerically compared with the benchmark Genetic algorithm using the Clipped optimal controller. The corresponding results indicated that proposed control strategies performed better for high-intensity ground motion and satisfactorily for low-intensity records. Next, the shake table results validated the performance of response-based-adaptive control strategies with device allocation algorithm in alleviating the peak and RMS response of the structure. The response of the structure was also attenuated and distributed among the modes of the structure, as indicated by the fast Fourier transform response of the structure.
AB - Most of the studies in the field of structural control are focused on maximizing the performance of control devices without taking into consideration the complex dynamic response of the structure, computational efficiency, performance flexibility, and feedback reliability. Also, the location algorithm of energy dissipation should be concatenated with the control strategy, for effective structural control of multi-story structures. Moreover, in recent years, non-contact measurements using digital image correlation techniques have been adopted and implemented for the monitoring of civil engineering structures. However, its application is restricted to reinforced cement concrete members, involving a lower frequency spectrum, small displacements, and a lower image capture rate. In this study two response-based-adaptive control strategies based on inter-story drift and acceleration response reduction objectives respectively have been proposed. The control strategies are then integrated with the device location algorithm to establish the optimum configuration/location of magnetorheological dampers in addition to the design parameters of the controls system. The performance of proposed strategies is numerically compared with the benchmark Genetic algorithm using the Clipped optimal controller. The corresponding results indicated that proposed control strategies performed better for high-intensity ground motion and satisfactorily for low-intensity records. Next, the shake table results validated the performance of response-based-adaptive control strategies with device allocation algorithm in alleviating the peak and RMS response of the structure. The response of the structure was also attenuated and distributed among the modes of the structure, as indicated by the fast Fourier transform response of the structure.
UR - https://hdl.handle.net/1959.7/uws:71223
U2 - 10.1088/1361-665X/ac26e6
DO - 10.1088/1361-665X/ac26e6
M3 - Article
SN - 0964-1726
VL - 30
JO - Smart Materials and Structures
JF - Smart Materials and Structures
IS - 11
M1 - 115009
ER -