An optimal semi-active thermal exchange-Fuzzy logic Controller for Structural Dynamic Control and Rehabilation

The effect of intelligent semi-active thermal exchange-fuzzy controller in structural rehabilitation by attenuating seismic responses of structural systems is investigated. In the suggested control system, MR dampers and sensors are employed as a semi-active controller. Resultant control forces of MR damper are administrated by providing external voltage supply, during the earthquakes and high intensity winds. Moreover, a novel evolutionary algorithm of thermal exchange (TE) is utilized to optimize the placement and the number of MR dampers and sensors in the sense of minimizing resultant vibration magnitude. An optimal semi-active thermal exchange-Fuzzy logic Controller (TE-FLC) is introduced to manage MR damper intelligently. Results of numerical simulations illustrate the efficiency of suggested control system. The TE-FLC can determine the optimal control arrangement and forces during a reasonable number of iterations. In comparison of the performance of various control strategies, the TE-FLC demonstrates that economical cost and rehabilitation properties of the building could be optimized simultaneously. The TE-FLC managed the optimal control forces online during strong ground motion, to attenuate the excessive responses in several rehabilitated buildings. Hence, the TE-FLC could improve the reliability of rehabilitated structure in comparison with passive and offline controllers. The significant efficiency of optimal arrangement of dampers and sensors over uniformly distribution of damper and sensors is also illustrated.