Seismic control of structure using smart material and intelligent strategy

Base isolation of structure subjected to seismic excitation has been shown to be successful and widely implemented in reducing the forces transmitted to the superstructure. This paper takes into consideration a, two-degree-of- freedom model of a base isolated building using controllable semi-active damper, i.e., magnetorheological fluid damper. In this study fuzzy-neural network strategy is employed for the seismic isolation. Nonlinear control laws would yield better reduction of nature damages due to the nonlinear damper and non-deterministic earthquake. The strategy combining fuzzy logic and neural network provide a reasonable scheme for the complex system. Using the new strategy is able to achieve a notable decrease in absolute acceleration and interstory drift.