Determine the optimal number and position of damping viscose (MR) in Seismic vibration control of buildings to use genetic algorithms (Fuzzy Eng. Application) Farzad Hatami 1 , Esmail Karimi 2 1 Assistant Professor, Research Institute of Petroleum Industry (RIPI), Tehran, Iran; hatamif@ripi.ir 2 M.Sc. of Civil Eng.; karimi1364@gmail.com ABSTRACT In this paper, study optimization performance of damping semi-active viscose MR in order to reduce the seismic vibrations of a building with 12 floors. For this purpose, we used genetic algorithms to obtain optimal number and optimal situation in 15 major earthquakes with different frequency content through which final status damping are determined. Investigating the influence of this type of damper on the construct dynamic response, the construct equation has been written regarding dampers .Then, the aforesaid equation has been transmitted to the situational setting ,the optimum quantity of each damper in the form of time function has been computed using optimization algorithm genetic and, the construct response has been determined. The results show that different positions of optimal in the structure height can have different effects on different responses. In a way that aligned damping in the upper parts of structures although much reduced Roof floor shift but are less than the rate of decline in shear force base. It also aligned damping in the bottom parts of structures are less than the rate of decline in base shear force roof and floor shift. Therefore, by determining optimized position of optimal by genetic algorithms that can simultaneously optimize the rate of reduction in the structure response. Key Words: Optimized navigation, genetic algorithms, damping semi-active viscose MR, seismic vibration 1. INTRODUCTION To ensure long-term performance, Structures should be designed in such a way that, undesirable vibrations caused by uncertain and external stimulation to be limited such as wind or earthquake. In recent decades, to reduce structural vibrations caused by dynamic forces, many control systems have been studied. Generally these systems are divided to three major groups, including: control systems of active, passive and semi-active. Limitations in passive and active systems Cause of the emergence of another system is called semi-active control system. In Semi-active systems with very little energy spent and damping coefficient or hard control device according to force into structures will change at any moment. It is make reduce structural vibrations. In according to different conditions of loading and low energy consumption is major advantage of these systems. In this study the effect of semi-active control system considered damping viscose (MR) in reduces the dynamic response of tall structures against earthquakes [1]. 2. SEMI-ACTIVE DAMPING VISCOSE MR It is one of the energy absorber systems that compared to their physical size have high ability. Therefore, this type damping can be used for depreciation of earthquake energy. Damping MR is model of magnetic damping ER. It serves as a semi-solid, Shear force increases with increasing shear yield stress. Therefore, the action of magnetic field can change with dynamic action of damping. "MR damping" against ER No limitation for practical use. In "MR damping", shear force is in large enough, and liquid impurity don’t effect on its function. Required Voltage range is 12 to 24 volts. This system was used in real scale. Almost fifteen years ago, the researchers concluded damping viscose that has been used into the launcher and missile submarines or military are used to control the vibrations caused by earthquake and bridges. One of the characteristics of this type damping is dynamics and power of adaptation to Structural action in order to resistance against earthquake forces. Thus Known to earthquake forces at the moment the earthquake and coordinated with to it's, apply the necessary force. Thus and have better resistance against these forces. Also in this damping used to external energy just for regularizing the window. Thus damping does not need this large source of foreign energy and hence are very reliable [1]. Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, edited by Zhu Zeng, Yuting Li, Proc. of SPIE Vol. 8349, 83492M · © 2012 SPIE CCC code: 0277-786X/12/$18 · doi: 10.1117/12.920259 Proc. of SPIE Vol. 8349 83492M-1