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Keywords: structural control, semi-active control, MR damper, MR fluid, fuzzy theory, genetic algorithm.

Summary

Over the past decade, applications of structural controls to earthquake hazard mitigation have been paid close attention to: many innovative ideas proposed, and new devices designed, in terms of active, passive and semi-active ones. Of various kinds of semi-active control devices, the Magneto-Rheological (MR) damper is our subject matter. It is filled with MR fluid, which can be changed regularly from a free flowing liquid, linear viscous one to semi-solid when exposed to a magnetic field.

A fuzzy control algorithm is here adopted in the dynamic simulation to calculate the control force induced by the MR damper. It is a type of simple logic algorithm because it is derived from the experts' knowledge which makes the control rules easy to establish, instead of differential equations. How to effectively find out better control rules, is here the main concern.

In the paper, we try to improve the system performance by incorporating a genetic algorithm to modify the predefined fuzzy rules. The three-floor steel structure installed in the National Center for Research on Earthquake Engineering in Taipei is here analyzed as the benchmark structure, and simulated as a shear frame in the numerical analysis. Besides, the software Matlab is used as the simulating tool in our analyzing steps.

In this research, a shear frame of full-scale three-story building installed with a MR damper is simulated under different earthquake excitation forces to predict the reduction effects. The optimal fuzzy control model generated by genetic algorithm is adopted to control and adjust the damper force. Based on the results of analysis, it could be concluded that: using fuzzy control to adjust the damper force as a structural control device is effective in reducing structural vibration response. Furthermore, different models of fuzzy control rules cause a different structural control effects. Some case studies show over 10% of effectiveness. This means the optimization is a worthwhile process for a fuzzy control designer.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 87 PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: B.H.V. Topping Paper 22 Semi-Active Fuzzy Control of a MR Damper on Structures by Genetic Algorithm Z.S. Huang, C. Wu and D.S. Hsu Department of Civil Engineering, Cheng Kung University, Tainan, Taiwan doi:10.4203/ccp.87.22 purchase the full-text of this paper Full Bibliographic Reference for this paper Z.S. Huang, C. Wu, D.S. Hsu, "Semi-Active Fuzzy Control of a MR Damper on Structures by Genetic Algorithm", in B.H.V. Topping, (Editor), "Proceedings of the Ninth International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 22, 2007. doi:10.4203/ccp.87.22 Keywords: structural control, semi-active control, MR damper, MR fluid, fuzzy theory, genetic algorithm. Summary Over the past decade, applications of structural controls to earthquake hazard mitigation have been paid close attention to: many innovative ideas proposed, and new devices designed, in terms of active, passive and semi-active ones. Of various kinds of semi-active control devices, the Magneto-Rheological (MR) damper is our subject matter. It is filled with MR fluid, which can be changed regularly from a free flowing liquid, linear viscous one to semi-solid when exposed to a magnetic field. A fuzzy control algorithm is here adopted in the dynamic simulation to calculate the control force induced by the MR damper. It is a type of simple logic algorithm because it is derived from the experts' knowledge which makes the control rules easy to establish, instead of differential equations. How to effectively find out better control rules, is here the main concern. In the paper, we try to improve the system performance by incorporating a genetic algorithm to modify the predefined fuzzy rules. The three-floor steel structure installed in the National Center for Research on Earthquake Engineering in Taipei is here analyzed as the benchmark structure, and simulated as a shear frame in the numerical analysis. Besides, the software Matlab is used as the simulating tool in our analyzing steps. In this research, a shear frame of full-scale three-story building installed with a MR damper is simulated under different earthquake excitation forces to predict the reduction effects. The optimal fuzzy control model generated by genetic algorithm is adopted to control and adjust the damper force. Based on the results of analysis, it could be concluded that: using fuzzy control to adjust the damper force as a structural control device is effective in reducing structural vibration response. Furthermore, different models of fuzzy control rules cause a different structural control effects. Some case studies show over 10% of effectiveness. This means the optimization is a worthwhile process for a fuzzy control designer. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £62 +P&P)
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