Journal of Vibration and Sound

Journal of Vibration and Sound

Control of seismic vibrations of a structure with nonlinear behavior using tuned mass and magnetorheological dampers with fuzzy logic algorithm based on velocity and displacement

Document Type : research article

Authors
1 M.Sc., Earthquake Engineering, School of civil engineering, Iran University of Science and Technology, Tehran, Iran
2 School of Civil Engineering, University of Tehran, Tehran, Iran
Abstract
In this study, the effect of using passive optimized tuned mass dampers and semi-active magnetorheological dampers separately and simultaneously in controlling the seismic vibrations of a steel structure has been evaluated, considering nonlinear behavior of the structure. The OpenSees software is used to model the steel structure and tuned mass damper, and MATLAB software is used to model the effect of the magnetorheological damper. In the MATLAB software, the appropriate control voltage for the magnetorheological damper is determined by implementing fuzzy logic with decisions based on velocity and displacement. The TCP/IP network is used as a communication bridge to connect the two softwares. Incremental dynamic analyses were performed using 7 earthquakes. Based on the results, the fuzzy logic algorithm has resulted in a better adaptation of the combined system of mass and magnetorheological dampers with the behavior of the structure. In fact, the combined control system, in addition to reducing the maximum response of the structure under the main pulse of the earthquake, has a great ability to reduce the response of the structure under the effect of weaker pulses. The combined mass and magnetorheological dampers control system has improved the maximum roof displacement of the structure by 23 percent compared to the passive control system with the tuned mass damper. The result for the maximum base shear of the structure is 27.9. The percentage of improvement in the dispersion values of the roof displacement and base shear in the aforementioned systems is 22.1 and 25.9, respectively.
Keywords
Subjects

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