Comparing Semi Active Control of Bridge via Variable Stiffness and Damping Systems and MR Dampers

Document Type : Original Article


1 Professor, College of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

2 Research Assistant, College of Civil Engineering, Iran University of Science and Technology, Tehran, Iran


Semi active devices can be used to control the responses of a continuous bridge during earthquake excitation. They are capable of offering the adaptability of active devices and stability and reliability of passive devices. This study proposes two semi-active control method protection of bridge using variable stiffness and damping systems and MR dampers. The first method is variable stiffness and damping with eight different (on-off) control schemes which is optimized with genetic algorithm. Genetic algorithm is used to define the parameters of this method. In the second method, an intelligent controller using fuzzy control of MR damper is developed. In particular, a fuzzy logic controller is designed to determine the command voltage of MR dampers. In order to evaluate the effectiveness of the proposed method, the performances of the proposed controllers are compared in numerical study. Results reveal that the developed controllers can effectively control both displacement and acceleration responses of the continuous bridge. 


[1]-Housner, G. W., Bergman, L. A., Caughey, T. K., Chassiakos, A. G., Claus, R. O. and Masri, S. F., 1997, Structural control: past, present, and future, Journal of Engineering Mechanics,123(9), 897-971.
[2]- Oh, S. K., Yoon, Y. H., Krishna, A. B., 2007, A study on the performance characteristics of variable valve for reverse continuous damper, World Academic Science, Engineering Technology, 32, 123–128.
[3]- liu, Y., Matsuhisa, H., Utsuno, H., 2008, Semi-active vibration isolation system with variable stiffness and damping control, Journal of sound and vibration, 313, 16-28.
[4]- Dyke, S. J., Spencer, B. F., Sain, M. K., Carlson, J. D., 1996, Modelling and control of magnetorheogical dampers for seismic response reduction, Smart Material Structure, 5, 565-575.
[5]- Sodeyama, H., Sunakoda, K., Suzuki, K., Carlson, J. D., Spencer, Jr. B. F., 2001, Development of large capacity semi active vibration control device using magnetorheological fluid, Seismic Engineering ASME PVP, 428(2), 109-114.
[6]-Yi, F., Dyke, S. J., Caicedo, J. M., Carlson, J. D., 2001, experimental verification of multinput seismic control strategies for smart dampers, Journal of Engineering Mechanics, 127(11), 1152-1164.
[7]- liu, Y., Matsuhisa, H., Utsuno, H. and Park, J. G., 2005, Vibration isolation by a variable Stiffness and Damping System, International Journal Society of Mechanical Engineering, 48(2), 305-310.
[8]- Marano, G. C., Quaranta, G., and Monti, G., 2011, Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements, Computing- Aided Civil Infrastructure Engineering, 26(2), 92-110.
[9]- Lee, C. C., 1995, Fuzzy logic in control system: fuzzy logic controller part I and part II., IEEE Transaction System Man, and Cybernetics, 20, 404-418.
[10]- Cronje, J. M, Stephan, P., and Theron, N. J., 2005, Development of a variable stiffness and damping runnable vibration isolator, Journal Vibrate control, 11(3), 381-396.
[11]- Gonca, V., and Shavab, J., 2010, Design of elastomeric shock absorbers with variable stiffness, Journal Vibroengineering, 12(3), 347-354.
[12]- Yoshida, O., and Dyke, S. J., Seismic control of a nonlinear benchmark building using smart dampers, Journal of Engineering Mechanics, 130(4), 386-392.
[13]- Park, K. S., Koh, M. H., and Seo, C. W., 2004, Independent model space fuzzy control of earthquake-excited structures, Engineering Structures, 26, 279-289.