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Seismic Response Reduction of Structures using Smart Base Isolation System

Authors: H.S. Kim


In this study, control performance of a smart base isolation system consisting of a friction pendulum system (FPS) and a magnetorheological (MR) damper has been investigated. A fuzzy logic controller (FLC) is used to modulate the MR damper so as to minimize structural acceleration while maintaining acceptable base displacement levels. To this end, a multi-objective optimization scheme is used to optimize parameters of membership functions and find appropriate fuzzy rules. To demonstrate effectiveness of the proposed multi-objective genetic algorithm for FLC, a numerical study of a smart base isolation system is conducted using several historical earthquakes. It is shown that the proposed method can find optimal fuzzy rules and that the optimized FLC outperforms not only a passive control strategy but also a human-designed FLC and a conventional semi-active control algorithm.

Keywords: Fuzzy logic controller, genetic algorithm, MR damper, smart base isolation system

Digital Object Identifier (DOI):

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[1] J. M. Kelly, G. Leitmann, and A. G. Soldatos, "Robust control of base-isolated structures under earthquake excitation," Journal Optimization Theory and Applications, vol. 53, 1987, pp. 159-180.
[2] S. Nagarajaiah, M. A. Riley, and A. Reinhorn, "Control of sliding-isolated bridge with absolute acceleration feedback," Journal of Engineering Mechanics, vol. 119, 1993, pp. 2317-2332.
[3] W. E. Schmitendorf, F. Jabbari, and J. N. Yang, "Robust control techniques for buildings under earthquake excitation," Earthquake Engineering and Structural Dynamics, vol. 23, 1994, pp. 539-552.
[4] J. N. Yang, J. C. Wu, A. M. Reinhorn, and M. Riley, "Control of sliding-isolated buildings using sliding-mode control," Journal of Structural Engineering, vol. 122, 1996, pp. 179-186.
[5] K. Yoshida, S. Kang, and T. Kim, "LQG control and H` control of vibration isolation for multi-degree-of-freedom systems," Proceedings of the First World Conference on Structural Control, Los Angeles, CA, TP4, 1994, pp. 43-52.
[6] E. A. Johnson, and J. C. Ramallo, B. F. Spencer, Jr., and M. K. Sain, "Intelligent base isolation systems," Proceedings of the 2nd World Conference on Structural Control, Kyoto, Japan, 1999, pp. 367-376.
[7] N. Kurata, T. Kobori, M. Takahashi, N. Niwa, and M. Hiroshi, "Actual seismic response controlled building with semi-active damper," Earthquake Engineering and Structural Dynamics, vol. 28, 1999, pp. 1427-1447.
[8] M. D. Symans, and M. C. Constantinou, "Semi-active control systems for seismic protection of structures: A state-of-the-art review," Engineering Structures, vol. 21, 1999, pp. 469-487.
[9] N. Niwa, T. Kobori, M. Takahashi, Y. Matsunaga, N. Kurata, and T. Mizuno, "Application of semi-active damper system to an actual building," Proceedings of the Second World Conference on Structural Control, Kyoto, Japan, 1999, pp. 815-824.
[10] J. D. Schaffer, "Multiple objective optimization with vector evaluated genetic algorithms," Proceedings of the First International Conference on Genetic Algorithms, Hillsdale, NJ, 1985, pp. 93-100.
[11] C. M. Fonseca, and P. J. Fleming, "Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization," Genetic Algorithms: Proceedings of the Fifth International Conference, Morgan Kaufmann, San Mateo, CA, 1993, 416~423.
[12] K. Deb, A. Pratap, S. Agrawal, and T. Meyarivan, "A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II," Technical Report No. 200001, Kanpur: Indian Institute of Technology Kanpur, India, 2000.
[13] P. Y. Lin, P. N. Roschke, C. H. Loh, and C. P. Cheng, "Semi-active controlled base-isolation system with magnetorheological damper and pendulum system," Proceedings of the 13th World Conference on Earthquake Engineering, Vancouver, British Columbia, Canada, 2004.
[14] V. Likhitruangsilp, "Neuro-fuzzy control based of a multi-degree of freedom structure with semi-active magnetorheological dampers," MS Thesis, Department of Civil Engineering, Texas A&M University, College Station, TX. 2002.
[15] H. S. Kim, P. N. Roschke, P. Y. Lin, and C. H. Loh, "Fuzzy control of a novel base isolator and MR damper for seismic applications," Engineering Structures, vol. 28, 2006, pp. 947-958.
[16] D. Karnopp, M. J. Crosby, and R. A. Harwood, "Vibration control using semi-active force generators," Journal of Engineering for Industry, ASME, vol. 96, 1974, pp. 619-626.