Semi-active seismic control of an 11-DOF building model with TMD+MR damper using type-1 and -2 fuzzy algorithms
| Autor: | Seyed Mehdi Zahrai, Meysam Ramezani, Akbar Bathaei |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science Mechanical Engineering Vibration control Building model Aerospace Engineering 020101 civil engineering Control engineering 02 engineering and technology Structural engineering Incremental Dynamic Analysis Fuzzy logic Field (computer science) 0201 civil engineering Damper 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Tuned mass damper Automotive Engineering General Materials Science Magnetorheological damper business |
| Zdroj: | Journal of Vibration and Control. 24:2938-2953 |
| ISSN: | 1741-2986 1077-5463 |
| DOI: | 10.1177/1077546317696369 |
| Popis: | Nowadays, vibration control of structures is considered as a challenging field among scientists and engineers. Structural damage and financial losses due to recent earthquakes in different countries have more than ever before accentuated the importance of controlling earthquake-induced vibrations. In recent years, semi-active control has been introduced as an efficient and reliable type of structural control which provides the reliability of passive control and flexibility of active control systems at the same time. In this study, the performance of a semi-active tuned mass damper (TMD) with adaptive magnetorheological (MR) damper is investigated using type-1 and -2 fuzzy controllers for seismic vibration mitigation of an 11-degree of freedom building model. The TMD is installed on the roof and the MR damper is located on the 11th story. The MR damper has a capacity of producing a 1000 kN control force. The fuzzy system is designed based on the acceleration and velocity of the top floor determining the input voltage needed to produce the control force based on accelerating or decelerating movements of structure. The seismic performance of semi-active type-2 controller, which considers the uncertainties related to input variables, is higher than that of the type-1 fuzzy controller. The type-2 fuzzy controller is capable of reducing further the maximum displacement, acceleration, and base shear of the structure by 11.7, 14, and 11.2%, respectively, compared to the type-1 fuzzy controller. |
| Databáze: | OpenAIRE |
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