Energy Dissipation Systems for Seismic Vibration-Induced Damage Mitigation in Building Structures: Development, Modeling, Analysis, and Design

Since the mid XX century, passive, semiactive, and active controlled systems have been proposed, tested, studied, and optimized to mitigate earthquake-induced effects upon structures. K. Hiramoto et al. in “Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network” propose an adaptive gain scheduled semiactive control method using an artificial neural network for structural systems subject to earthquake disturbance. Compared to the passive control case and the conventional semiactive control method based on the clipped optimal control method, the proposed semiactive control method is shown to have better control performance on vibration suppression and flexibility against earthquake disturbances whose time and frequency characteristics are unknown over the conventional semiactive control approach, aiming at the robust performance characteristics.