Seismic Active Control under Uncertain Ground Excitation: an Efficient Cognitive Adaptive Optimization Approach

摘要

Several disastrous incidents from earthquakes have been recorded in recent and past human life. Despite the improvements in structural stability and vibration resilience, heavy structures still suffer from construction cost problems which usually hinder their potential investment. Vibration active control techniques present a great potential for reducing the anti-seismic protection costs. So far, existing building vibration control strategies are unable to provide a reliable operation able to reject the evolving uncertain non-linear dynamics that grow as the amplitude of the exogenous ground disturbance increases. This paper applies a vibration active control optimization methodology in applications involving large structures. A simulation model of the structure is used to optimize, in an offline manner, the total structure displacement metric. Simulation experiments demonstrate that the adopted approach namely Automated Fine-Tuning Cognitive Adaptive Optimization (AFT-CAO) - can effectively deal with seismic dynamics both in low and large seismic cases. AFT-CAO was proven capable to provide efficient control decisions that well-established LQR cannot outperform. The structure model used for the simulation tests consists by three vertically interconnected masses, each connected to an external lateral spring with an adjustable applied restoring force.