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Trust-region based instantaneous optimal semi-active control of long-span spatially extended structures with MRF-04K damper

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Abstract

In the field of civil engineering, magnetorheological fluid (MRF) damper-based semi-active control systems have received considerable attention for use in protecting structures from natural hazards such as strong earthquakes and high winds. In this paper, the MRF damper-based semi-active control system is applied to a long-span spatially extended structure and its feasibility is discussed. Meanwhile, a trust-region method based instantaneous optimal semi-active control algorithm (TIOC) is proposed to improve the performance of the semi-active control system in a multiple damper situation. The proposed TIOC describes the control process as a bounded constraint optimization problem, in which an optimal semiactive control force vector is solved by the trust-region method in every control step to minimize the structural responses. A numerical example of a railway station roof structure installed with MRF-04K dampers is presented. First, a modified Bouc-Wen model is utilized to describe the behavior of the selected MRF-04K damper. Then, two semi-active control systems, including the well-known clipped-optimal controller and the proposed TIOC controller, are considered. Based on the characteristics of the long-span spatially extended structure, the performance of the control system is evaluated under uniform earthquake excitation and travelling-wave excitation with different apparent velocities. The simulation results indicate that the MR fluid damper-based semi-active control systems have the potential to mitigate the responses of full-scale long-span spatially extended structures under earthquake hazards. The superiority of the proposed TIOC controller is demonstrated by comparing its control effectiveness with the clipped-optimal controller for several different cases.

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References

  • Bhardwaj MK and Datta TK (2006), “Semiactive Fuzzy Control of the Seismic Response of Building Frames,” Journal of Structural Engineering, ASCE, 132(5): 791–799.

    Article  Google Scholar 

  • Branch MA, Coleman TF and Li YY (1999), “Subspace, Interior, and Conjugate Gradient Method for Large-scale Bound-constrained Minimization Problems,” SIAM Journal of Scientific Computing, 21(1): 1–23.

    Article  Google Scholar 

  • Chang CC and Roschke PN (1999), “Neural Network Modeling of a Magnetorheological Damper,” Journal of Intelligent Material Systems and Structures, 9(9): 755–764.

    Google Scholar 

  • Coleman TF and Li Y (1994), “On the Convergence of Reflective Newton Methods for Large-scale Nonlinear Minimization Subject to Bounds,” Mathematical Programming, 67(2): 189–224.

    Article  Google Scholar 

  • Duan YF, Ni YQ and Ko JM (2005), “State-derivative Feedback Control of Cable Vibration Using Semi-active Magnetorheological Dampers,” Computer-Aided Civil and Infrastructure Engineering, 20(6): 431–449.

    Article  Google Scholar 

  • Dyke SJ, Spencer Jr BF, Sain MK and Carlson JD (1996), “Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction,” Smart Materials and Structures, 5(5): 565–575.

    Article  Google Scholar 

  • Dyke SJ, Yi F and Carlson JD (1999), “Seismic Hazard Mitigation Using Multiple Magnetorheological Devices,” Avent RR, Alawady M, Structural Engineering in the 21st century, Proceedings of the 1999 Structures Congress, Reston: American Society of Civil Engineers, pp. 361–364.

    Google Scholar 

  • Friswell MI, Garvey SD and Penny JET (1995), “Model Reduction Using Dynamic and Iterated IRS Techniques,” Journal of Sound and Vibration, 186(2): 311–323.

    Article  Google Scholar 

  • Giorgetti N, Bemporad A, Tseng HE and Hrovat D (2006), “Hybrid Model Predictive Control Application Towards Optimal Semi-active Suspension,” International Journal of Control, 79(5): 521–533.

    Article  Google Scholar 

  • Harichandran RS and Vanmarcke EH (1986), “Stochastic Variation of Earthquake Ground Motion in Space and Time,” Journal of Engineering Mechanics, ASCE, 112(2): 154–175.

    Article  Google Scholar 

  • Inaudi JA (1997), “Modulated Homogeneous Friction: A Semi-active Damping Strategy,” Earthquake Engineering & Structural Dynamics, 26(3): 361–376.

    Article  Google Scholar 

  • Kiureghian AD (1996), “Coherency Model for Spatially Varying Ground Motions,” Earthquake Engineering & Structural Dynamics, 25(1): 99–111.

    Article  Google Scholar 

  • Leitmann G (1994), “Semiactive Control for Vibration Attenuation,” Journal of Intelligent Material Systems and Structures, 5(6): 841–846.

    Article  Google Scholar 

  • Li ZX and Xu LH (2005), “Performance Tests and Hysteresis Model of MRF-04K Damper,” Journal of Structural Engineering, ASCE, 131(8): 1303–1306.

    Article  Google Scholar 

  • Loh CH and Yeh YT (1988), “Spatial Variation and Stochastic Modeling of Seismic Differential Ground Movement,” Earthquake Engineering & Structural Dynamics, 16(4): 583–596.

    Article  Google Scholar 

  • McClamroch NH and Gavin HP (1995), “Closed Loop Structural Control Using Electrorheological Dampers,” Proceedings of the American Control Conference, Vol. 6, pp. 4173–4177.

    Google Scholar 

  • Ni YQ, Chen Y, Ko JM and Cao DQ (2002), “Neurocontrol of Cable Vibration Using Semi-active Magnetorheological Dampers,” Engineering Structures, 24(3): 295–307.

    Article  Google Scholar 

  • Ohsaki M (2001), “Sensitivity of Optimum Designs for Spatially Varying Ground Motions,” Journal of Structural Engineering, ASCE, 127(11): 1324–1329.

    Article  Google Scholar 

  • Rodriguez JF, Renaud JE, Wujek BA and Tappeta RV (2000), “Trust Region Model Management in Multidisciplinary Design Optimization,” Journal of Computational and Applied Mathematics, 124(1–2): 139–154.

    Article  Google Scholar 

  • Schurter KC and Roschke PN (2000), “Fuzzy Modeling of a Magnetorheological Damper Using ANFIS,” Proceedings of the ninth IEEE International Conference on Fuzzy Systems, Vol.1, pp. 122–127.

    Article  Google Scholar 

  • Spencer Jr BF, Dyke SJ, Sain MK and Carlson JD (1997), “Phenomenological Model of a Magnetorheological Damper,” Journal of Engineering Mechanics, ASCE, 123(3): 230–238.

    Article  Google Scholar 

  • Spencer Jr BF, Yang G, Carlson JD and Sain MK (2002), “Large-scale MR Fluid Dampers: Modeling and Dynamic Performance Considerations,” Engineering Structures, 24(3): 309–323.

    Article  Google Scholar 

  • Tarantino J, Bruch Jr JC and Sloss JM (2004), “Instantaneous Optimal Control of Seismically-excited Structures Using a Maximum Principle,” Journal of Vibration and Control, 10(8): 1099–1121.

    Article  Google Scholar 

  • Terasawa T and Sano A (2005), “Fully Adaptive Vibration Control for Uncertain Structure Installed with MR Damper,” Proceedings of the 2005 American Control Conference, Vol.7, pp: 4753–4759.

    Article  Google Scholar 

  • Tseng HE and Hedrick JK (1994), Semi-active Control Laws: Optimal and Sub-optimal, Vehicle System Dynamics, 23(7): 545–569.

    Article  Google Scholar 

  • Wong KKF and Yang R (2003), “Predictive Instantaneous Optimal Control of Inelastic Structures During Earthquakes,” Earthquake Engineering & Structural Dynamics, 32(14): 2179–2195.

    Article  Google Scholar 

  • Xu ZD, Shen YP and Guo YQ (2003), “Semiactive Control of Structures Incorporated with Magnetorheological Dampers Using Neural Networks,” Smart Materials and Structures, 12(1): 80–87.

    Article  Google Scholar 

  • Yang JN, Akbarpour A and Ghaemmaghami P (1987), “New Optimal Control Algorithms for Structural Control,” Journal of Engineering Mechanics, ASCE, 113(9): 1369–1386.

    Google Scholar 

  • Yang G, Spencer Jr BF, Jung H and Carlson JD (2004), “Dynamic Modeling of Large-scale Magnetorheological Damper Systems for Civil Engineering Applications,” Journal of Engineering Mechanics, ASCE, 130(9): 1107–1114.

    Article  Google Scholar 

  • Yi F, Dyke SJ, Caicedo JM and Carlson JD (2001), “Experimental Verification of Multi-input Seismic Control Strategies for Smart Dampers,” Journal of Engineering Mechanics, ASCE, 127(11): 1152–1164.

    Article  Google Scholar 

  • Zhong WX (2004), “On Precise Integration Method,” Journal of Computational and Applied Mathematics, 163(1): 59–78.

    Article  Google Scholar 

  • Zhang YH, Lin JH, Williams FW and Li QS (2005), “Wave Passage Effect of Seismic Ground Motions on the Response of Multiply Supported Structures,” Structural Engineering and Mechanics, 20(6): 655–672.

    Google Scholar 

Download references

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Correspondence to Zhongxian Li.

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Supported by: National Science Fund for Distinguished Young Scholars of China Under Grant No. 50425824 and the National Natural Science Foundation of China Under Grant No. 50578109, 90715034 and 90715032

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Lin, W., Li, Z. & Ding, Y. Trust-region based instantaneous optimal semi-active control of long-span spatially extended structures with MRF-04K damper. Earthq. Eng. Eng. Vib. 7, 447–464 (2008). https://doi.org/10.1007/s11803-008-1002-9

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  • DOI: https://doi.org/10.1007/s11803-008-1002-9

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