In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive NeuroFuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of MagnetoRheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavior o...

During the earthquake phase, dampers were used to dissipate energy as well stop Deformation of Structure. We may reduce buckling and failure columns beams by increasing stability frame with help dampers. earthquakes, high-rise buildings are destroyed, there is significant deformation. shaking reinforcement cement concrete structures during an using various types in this analysis determine suita...

In this paper, the effect of viscous dampers (VD) on control adjacent structures is firstly discussed, and then tuned inerter (TID) utilized to enhance performance structures. The relative displacement absolute acceleration responses TID controlled are optimized evaluated by H∞ transfer functions. results show that there an optimal damping ratio minimize response structure when VD used, but req...

This study investigates the efficacy of optimal semi-active dampers for achieving the best results in seismic response mitigation of adjacent buildings connected to each other by magnetorheological (MR) dampers under earthquakes. One of the challenges in the application of this study is to develop an effective optimal control strategy that can fully utilize the capabilities of the MR dampers. H...