Modified crow search algorithm–based fuzzy control of adjacent buildings connected by magnetorheological dampers considering soil–structure interaction

Abstract

Finding effective means of protecting structures from dynamic hazards is a challenging task and has gained increasing significance. As for the seismically excited adjacent structures, an intelligent control strategy using magnetorheological dampers as connection devices considering soil–structure interaction is presented. First, the calculation model for the coupled structure–soil–structure interaction–magnetorheological damper system is developed, and the motion equation for calculating the seismic responses is then derived. Second, a semiactive control strategy integrating a modified crow search algorithm into a fuzzy logic control is proposed. In this strategy, to accurately calculate the voltage of magnetorheological dampers, the modified crow search algorithm with a hybrid coding strategy, priority selection scheme for target crows, new solution updating method, and guarantee mechanism of the solution feasibility is proposed to design the fuzzy logic control system. The numerical example of 10-story and 20-story coupled buildings demonstrates that soil–structure interaction should be taken into consideration to avoid overestimating the control effect. Besides, the proposed modified crow search algorithm outperforms genetic algorithm in terms of accuracy and robustness. Furthermore, by using magnetorheological dampers to interconnect the coupled structure with soil–structure interaction, dual advantages, that is response reduction and pounding mitigation can be achieved. The proposed modified crow search algorithm–fuzzy logic control method shows comprehensive performance superiority over its competitors, that is passive-off, passive-on, on–off, linear quadratic regulator–clipped voltage law, and linear quadratic Gaussian–clipped voltage law control strategies.