Experimental Investigation of MR Damper-based Semiactive Control Algorithms for Full-scale Five-story Steel Frame Building

Abstract

In this study, the effectiveness of various semiactive control algorithms based on magnetorheological (MR) dampers is experimentally investigated for seismic protection of a full-scale five-story steel frame building structure. This may be the first experimental comparison of several semiactive control algorithms using a full-scale test structure. The MR damper-based control systems are realized, when an MR damper is designed by deriving a suboptimal design procedure considering optimization problem and magnetic analysis, and then a damper with the capacity of 1.0 ton is manufactured. In the experiments, a linear active mass driver and the linear shaker seismic simulation testing method are used to excite the building structure in order to match the full-scale building vibrate as if the building undergoes an earthquake. Under the four historical earthquakes and one filtered artificial earthquake, the performance of the semiactive control algorithms including the passive optimal case is experimentally evaluated. From the experimental results, one can conclude that the Lyapunov and semiactive neuro-control algorithms are appropriate in reducing accelerations of the structural system, and the passive optimal case and the maximum energy dissipation algorithm show the excellent performance in reducing the first floor displacement.

Keywords

semiactive control algorithms MR damper full-scale five-story building experimental performance test.

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References

Baruch, M. 1978. ‘‘Optimization Procedure to Correct Stiffness and Flexibility Matrices Using Vibration Tests,’’ AIAA Journal, 16:1208-1210.

Chen, H.M. , Tsai, K.H. , Qi, G.Z. , Yang, J.C.S. and Amini, F. 1995. ‘‘Neural Network for Structural Control,’’ Journal of Computing in Civil Engineering, ASCE, 9:168-176.

Dyke, S.J. , Spencer Jr, B.F. , Sain, M.K. and Carlson, J.D. 1996. ‘‘Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction,’’ Smart Materials and Structures, 5:565-575.

Gavin, H.P. , Hoagg, J. and Dobossy, M. 2001. ‘‘Optimal Design of MR Dampers,’’ In: ed. Kawashima, K., Spencer, B.F. and Suzuki, Y. (eds), Proceedings of U.S-Japan Workshop on Smart Structures for Improved Seismic Performance in Urban Regions, 14 August, Seattle, WA, pp. 225-236.

Gavin, H.P. , Phule, P.P. and Jones, A.J. 2002. ‘‘Design Optimization of MR Devices and Materials,’’ Proceedings of 3rd World Conference on Structural Control , 2:309-314.

Ghaboussi, J. and Joghataie, A. 1995. ‘‘Active Control of Structure Using Neural Network,’’ Journal of Engineering Mechanics, ASCE , 121:555-567.

Jansen, L.M. and Dyke, S.J. 2000. ‘‘Semi-Active Control Strategies for MR Dampers: A Comparative Study,’’ Journal of Engineering Mechanics, ASCE, 126:795-803.

Jung, H.J. , Lee, H.J. , Yoon, W.H. , Oh, J.W. and Lee, I.W. 2004. ‘‘Semiactive Neurocontrol for Seismic Response Reduction using Smart Damping Strategy,’’ Computing in Civil Engineering, ASCE, 18:277-280.

Jung, H.J. , Choi, K.M. , Park, K.S. and Cho, S.W. 2007. ‘‘Seismic Protection of Base Isolated Structures Using Smart Passive Control System,’’ Smart Structures and Systems, 3:385-403.

10.

Jung, H.J. , Choi, K.M. , Spencer Jr, B.F. and Lee, I.W. 2006. ‘‘Application of Some Semi-active Control Algorithms to a Smart Base-Isolated Building Employing MR Dampers,’’ Structural Control and Health Monitoring, 13:693-704.

11.

Jung, H.J. , Jang, J.E. , Choi, K.M. and Lee, H.J. 2008. ‘‘MR Fluid Damper-based Smart Damping Systems for Long Steel Stay Cable under Wind Load,’’ Smart Structures and Systems, 4:697-710.

12.

Kim, J.T. , Jung, H.J. and Lee, I.W. 2000. ‘‘Optimal Structural Control using Neural Network,’’ Journal of Engineering Mechanics, ASCE , 126:201-205.

13.

Lee, H.J. , Yang, G. , Jung, H.J. , Spencer Jr, B.F. and Lee, I.W. 2006a. ‘‘Semiactive Neuro-control of a Base-Isolated Benchmark Structure,’’ Structural Control and Health Monitoring, 13:682-692.

14.

Lee, S.H. , Park, E.C. , Youn, K.J. , Lee, S.K. , Yu, E. , Min, K.W. , Chung, L. , Min, J.K. and Kim, Y.C. 2006b. ‘‘Forced Vibration Test of a Real-scale Structure and Design of HMD Controllers for Simulating Earthquake Response, ’’ Journal of the Earthquake Engineering Society of Korea, 10:103-114.

15.

Leitmann, G. 1994. ‘‘Semi-active Control for Vibration Attenuation ,’’ Journal of Intelligent Material Systems and Structures, 5:841-846.

16.

Lord Corporation 2010. Hydrocarbon-based MR Fluid MRF-140CG Product Bulletin. Available at: http://www.lordfulfillment.com/upload/DS7012.pdf (accessed date May 24, 2010).

17.

McClamroch, N.H. and Gavin, H.P. 1995. ‘‘Closed Loop Structural Control Using Electrorheological Damper,’’ In: Proceedings of the American Control Conference, Seattle, WA, pp. 4173-4177.

18.

Meeker, D. 2004. User’s Manual for Finite Element Method Magnetics Version 3.4. Available at: http://femm.berlios.de (accessed date May 24, 2010).

19.

Spencer Jr, B.F. , Dyke, S.J. , Sain, M.K. and Carlson, J.D. 1997. ‘‘Phenomenological Model of a Magnetorheological Damper,’’ Journal of Engineering Mechanics, ASCE , 123:230-238.

20.

Spencer Jr, B.F. and Nagarajaiah, S. 2003. ‘‘State of the Art of Structural Control,’’ Journal of Structural Engineering, ASCE, 129:845-856.

21.

Yang, G. 2001. ‘‘Large-Scale Magnetorheological Fluid Damper for Vibration Mitigation: Modeling,’’ Testing and Control, PhD Dissertation, University of Notre Dame, IN, USA.

22.

Yu, E. , Whang, D.H. , Conte, J.P. , Stewart, J.P. and Wallace, J.W. 2005. ‘‘Forced Vibration Testing of Buildings using the Linear Shaker Seismic Simulation (LSSS) testing method, ’’ Earthquake Engineering and Structural Dynamics, 34:737-761.

23.

Zhou, L. and Chang, C.C. 2003. ‘‘Adaptive Fuzzy Control for Nonlinear Building-Magnetorheological Damper System,’’ Journal of Structural Engineering, ASCE, 129:905-913.