Seismic Response Reduction of Structures using Smart Base Isolation System
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.
[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.
[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.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:55640", author = "H.S. Kim", title = "Seismic Response Reduction of Structures using Smart Base Isolation System", abstract = "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", volume = "5", number = "12", pages = "2629-6", }
