Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Abstract

Seismic control of cable-stayed bridges is of paramount importance due to their complex dynamic behavior, high flexibility, and low structural damping. In the present study, several semi-active Fuzzy Control Algorithms (FCAs) for vibration mitigation of Lali Cable-Stayed Bridge are devised. To demonstrate the efficiency of the algorithms, a comprehensive nonlinear 3-D model of the bridge is created using OpenSees. An efficient method for connecting MATLAB and OpenSees is devised for applying FCAs to the structural model of the bridge. Two innovative fuzzy rule-bases are introduced. A total of six different fuzzy rule-bases are utilized. The efficiency of the FCAs is evaluated in a comparative manner. The performance of fuzzy control systems is also compared with a sky-hook and a passive-on system. Moreover, the sensitivity of efficiency of control systems to the peak ground acceleration is evaluated qualitatively. In addition, the effect of time lag is also investigated. This study thoroughly examines the efficiency of the FCAs in different aspects. Therefore, the results can be regarded as a general guide to design semi-active fuzzy control systems for vibration mitigation of cable-stayed bridges.

Keywords

semi-active control / Fuzzy Control Algorithm / cable-stayed bridge / MR damper / Lali Bridge

References

[1] George H W. Influence of deck material on response of cable-stayed bridges to live loads. Journal of Bridge Engineering, 1999, 4(2): 136–142

[2] Mehrabi A B. In-service evaluation of cable-stayed bridges, overview of available methods and findings. Journal of Bridge Engineering, 2006, 11(6): 716–724

[3] Hasan M, Khalil E, Attia W, Turkey A. Influence of deck longitudinal prestressing on cable-stayed bridges. Structural Engineering International, 2015, 25(3): 292–299

[4] Caicedo J M, Dyke S J, Moon S J, Bergman L A, Turan G, Hague S. Phase II benchmark control problem for seismic response of cable-stayed bridges. Structural Control and Health Monitoring, 2003, 10(3–4): 137–168

[5] Nariman N A. A novel structural modification to eliminate the early coupling between bending and torsional mode shapes in a cable-stayed bridge. Frontiers of Structural and Civil Engineering, 2017, 11(2): 131–142

[6] Abdel-Ghaffar A M. Cable-stayed bridges under seismic action. In: Proceedings of the Seminar Cable-Stayed Bridges: Recent DevelOpment and Their Future. Yokohama, 1991

[7] Housner G, Bergman L A, Caughey T K, Chassiakos A G, Claus R O, Masri S F, Skelton R E, Soong T T, Spencer B F, Yao J T. Structural control: Past, present, and future. Journal of Engineering Mechanics, 1997, 123(9): 897–971

[8] Symans M D, Constantinou M C. Semi-active control systems for seismic protection of structures: A state-of-the-art review. Engineering Structures, 1999, 21(6): 469–487

[9] Fujino Y. Vibration, control and monitoring of long-span bridges —Recent research, developments and practice in Japan. Journal of Constructional Steel Research, 2002, 58(1): 71–97

[10] Spencer B F Jr, Nagarajaiah S. State of the art of structural control. Journal of Structural Engineering, 2003, 129(7): 845–856

[11] Javadinasab Hormozabad S, Ramezani M, Ghorbani-Tanha A K. Seismic behavior and vibration control of Lali Cable-Stayed Bridge using TMD. In: Proceedings of the 4th International Conference on Bridge (4IBC2015). Tehran, 2015

[12] Spencer B F Jr, Dyke S J, Sain M K, Carlson J. Phenomenological model for magnetorheological dampers. Journal of Engineering Mechanics, 1997, 123(3): 230–238

[13] He W L, Agrawal A K, Mahmoud K. Control of seismically excited cable-stayed bridge using resetting semiactive stiffness dampers. Journal of Bridge Engineering, 2001, 6(6): 376–384

[14] Bitaraf M, Ozbulut O E, Hurlebaus S, Barroso L. Application of semi-active control strategies for seismic protection of buildings with MR dampers. Engineering Structures, 2010, 32(10): 3040–3047

[15] El-Khoury O, Kim C, Shafieezadeh A, Hur J E, Heo G H. Experimental study of the semi-active control of a nonlinear two-span bridge using stochastic optimal polynomial control. Smart Materials and Structures, 2015, 24(6): 065011

[16] Miah M S, Chatzi E N, Dertimanis V K, Weber F. Real-time experimental validation of a novel semi-active control scheme for vibration mitigation. Structural Control and Health Monitoring, 2017, 24(3): e1878

[17] Javadinasab Hormozabad S, Zahrai S M. Innovative adaptive viscous damper to improve seismic control of structures. Journal of Vibration and Control, 2019, 25(12): 1833–1851

[18] Dyke S J, Caicedo J M, Turan G, Bergman L A, Hague S. Phase I benchmark control problem for seismic response of cable-stayed bridges. Journal of Structural Engineering, 2003, 129(7): 857–872

[19] Iemura H, Pradono M H. Application of pseudo-negative stiffness control to the benchmark cable-stayed bridge. Structural Control and Health Monitoring, 2003, 10(3–4): 187–203

[20] Yang J N, Lin S, Jabbari F. H2-based control strategies for civil engineering structures. Structural Control and Health Monitoring, 2003, 10(3–4): 205–230

[21] Agrawal A K, Yang J N, He W L. Applications of some semiactive control systems to benchmark cable-stayed bridge. Journal of Structural Engineering, 2003, 129(7): 884–894

[22] Dyke S J, Spencer B F Jr, Sain M K, Carlson J D. Modeling and control of magnetorheological dampers for seismic response reduction. Smart Materials and Structures, 1996, 5(5): 565–575

[23] Jansen L M, Dyke S J. Semiactive control strategies for MR dampers: Comparative study. Journal of Engineering Mechanics, 2000, 126(8): 795–803

[24] Yi F, Dyke S J, Caicedo J M, Carlson J D. Experimental verification of multi-input seismic control strategies for smart dampers. Journal of Engineering Mechanics, 2001, 127(11): 1152–1164

[25] Ramallo J C, Johnson E A, Spencer B F Jr. “Smart” base isolation systems. Journal of Engineering Mechanics, 2002, 128(10): 1088–1099

[26] Xu L H, Li Z X. Semi-active multi-step predictive control of structures using MR dampers. Earthquake Engineering & Structural Dynamics, 2008, 37(12): 1435–1448

[27] Jung H J, Spencer B F Jr, Lee I W. Control of seismically excited cable-stayed bridge employing magnetorheological fluid dampers. Journal of Structural Engineering, 2003, 129(7): 873–883

[28] Symans M D, Kelly S W. Fuzzy logic control of bridge structures using intelligent semi-active seismic isolation systems. Earthquake Engineering & Structural Dynamics, 1999, 28(1): 37–60

[29] Park K S, Koh H M, Ok S Y, Seo C W. Fuzzy supervisory control of earthquake-excited cable-stayed bridges. Engineering Structures, 2005, 27(7): 1086–1100

[30] Ok S Y, Kim D S, Park K S, Koh H M. Semi-active fuzzy control of cable-stayed bridges using magneto-rheological dampers. Engineering Structures, 2007, 29(5): 776–788

[31] Yoshioka H, Ramallo J C, Spencer B F Jr. “Smart” base isolation strategies employing magnetorheological dampers. Journal of Engineering Mechanics, 2002, 128(5): 540–551

[32] Johnson E A, Baker G A, Spencer B F Jr, Fujino Y. Semiactive damping of stay cables. Journal of Engineering Mechanics, 2007, 133(1): 1–11

[33] Salari S, Javadinasab Hormozabad S, Ghorbani-Tanha A K, Rahimian M. Innovative mobile TMD system for semi-active vibration control of inclined sagged cables. KSCE Journal of Civil Engineering, 2019, 23(2): 641–653

[34] Ghahramani A. Static and dynamic analysis of Lali bridge basin and caisson foundation. In: Proceedings of the 8th International Congress on Civil Engineering. Shiraz, 2009

[35] MATLAB. Fuzzy Logic Toolbox^TM User’s Guide. Natick, MA: The Math Works, Inc., 2011

Acknowledgements

Invaluable support of Bolandpayeh Company for providing the model of Lali Bridge in SAP2000 is gratefully appreciated. The assistance of Mrs. N. Zangeneh and Mr. M. Kamali-Zarch in preparing technical information about Lali Bridge is acknowledged. The kind cooperation of Mr. R. Zamanian for applying TCP IP network connection is also appreciated.

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2020 Higher Education Press