Universal Type Piezoelectric Friction Damper And Its Application In Vibration Control Of High-rise Buildings

Piezoelectric material is one of the smart materials with its outstanding feature. How to use its excellent property, such as quick response and simple structure, and overcome its defect little deflection, is a main problem facing every researcher of piezoelectric materials application research.For this reason, in this paper, a new smart piezoelectric friction damper with muff shape is developed. We want to use the feature of small relative displacement between two contact surfaces of friction damper to overcome shortcoming of piezoelectric materials, and then we can use the piezoelectric materials free and effective. Firstly, a double-muff damper is developed that can be installed on the brace bar, and the formula about the damp force has been deduced. Because of the random seismic action, the new damper is changed into a versatile smart damper. The paper researched the dissipative capability of the new versatile smart friction damper.The tall building's weighty, and its depth-width ratio is too big. The installation of smart friction in structure is a effective measure to mitigate the response induced by earthquake or wind. A algorithm that is fitting to the damper will make the structure have good resistance to the wind and seismic influence. The paper has compared several algorithms that are used to the smart friction damper. The theory deduction and numerical simulation all showed that SOC is better for this damper and structure.The arrangement of smart damper in tall building is a very important question for structure vibration control. If the total number has been limited, the different assignment of the damper number in different storeys will change structure anti-seismic performance when closed loop has been application for vibration control. The improper assignment will result in unstable structure control. If the premise of achieving the control goal is established, to optimize the damper assignment is a practical problem. GA has been used to realize the optimal assignment in this paper. The numerical simulation shows that GA is effective for this problem.