A fuzzy logic control (FLC) algorithm optimized by the genetic algorithm (GA) is developed in the paper for the
benchmark problem application regarding the vibration control of tall buildings under along wind excitation. The
adopted control scheme consists of an MR damper which the control action is achieved by a Fuzzy Controller. The fuzzy
rules for the controller are optimized by the genetic algorithm to enhance the efficiency of the control system. A fuzzy
strategy of two-input and single-output variables is adopted in the control system. The fuzzy subset and rules base for the
controller are optimized by the genetic algorithm to further decrease the responses of the controlled structure. The
robustness of the controller has been demonstrated through the uncertainty in stiffness (15% and -15% variations from
initial stiffness) of the building. The results of the simulation show a good performance by the fuzzy controller for all
tested cases.
An optimal placement of MR dampers using genetic algorithm (GA) is put forward in this paper in order to reduce the vibration responses of high-rise building under wind load. The shear dynamic model and equation of motion of the structural system are set up and some parameters of the system are determined based on the model considering the torsion effects of the building. Moreover, an optimal installation model for MR dampers based on genetic algorithm is set up. To simulate the vibration procedures under wind load, a 12-story reinforced concrete eccentric frame structure is used as an example to show the optimal steps and response control effect. The results of the simulation show that genetic algorithm can be used effectively and economically in the optimal installation design of MR dampers in high-rise eccentric buildings to decrease the structural vibration responses induced by wind load.
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