NUMERICAL SIMULATION AND BEHAVIOUR ANALYSIS OF A 3D 6-DOF SEISMIC SIMULATION SHAKING TABLE SYSTEM

Binbin Li,∗,∗∗ Juanli Zhao,∗∗∗ Bo Liu,∗∗ and Fan Xu∗∗

References

  1. [1] D.P. Newell, M.K. Sain, H.L. Dai, et al., Nonlinear modeling and control of a hydraulic seismic simulator, Proceedings of the 1995 American Control Conference, vol. 1, 1995, 801–805.
  2. [2] J.S. Shortreed, F. Seible, and G. Benzoni, Simulation issues with a real-time, full-scale seismic testing system, Journal of Earthquake Engineering, 6(Sp.Iss. S1), 2002, 185–201.
  3. [3] J.G. Chase, N.H. Hudson, J. Lin, et al., Nonlinear shake table identification and control for near field earthquake testing, Journal of Earthquake Engineering, 9(4), 2005, 461–482.
  4. [4] O. Ozcelik, J.E. Luco, J.P. Conte et al., Experimental characterization, modeling and identification of the NEES-UCSD shake table mechanical system, Earthquake Engineering & Structural Dynamics, 37(2), 2008, 243–264.
  5. [5] A.R. Plummer, A detailed dynamic model of a six-axis shaking table, Journal of Earthquake Engineering, 12(4), 2008, 631– 662.
  6. [6] X. Yan, C. Zhu, and Y. Hu, Building model study of the six degree of freedom shaking table, Machine Tool & Hydraulics, 11,2006, 98–100+125.
  7. [7] J. Wang, B.-L. Niu, and S.-q. Hu, The electro-hydraulic shaker modeling and applications of the simulation model, Journal of System Simulation, 20(suppl.), 2008, 258–264.
  8. [8] Q. Wang, J. Wang, F. Jin, and C. Zhang, Real-time dynamic hybrid simulation testing based on virtual shaking-table, Earthquake Engineering and Engineering Dynamics, 29(6), 2009, 25–32.
  9. [9] W. Kim, D. Won, D. Shin, and C.C. Chung, Output feedback nonlinear control for electro-hydraulic systems, Mechatronics, 22(6), 2012, 766–777.
  10. [10] A. R. Plummer, “Model-based motion control for multi-axis servo hydraulic shaking tables,” Control Engineering Practice, 53, 2016, 109–122.
  11. [11] K. Seki, M. Iwasaki, M. Kawafuku, H. Hirai, and K. Yasuda, Adaptive compensation for reaction force with frequency variation in shaking table systems, IEEE Transactions on Industrial Electronics, 56(10), 2009, 3864–3871.
  12. [12] H. Chen, J. Gao, and R. Lu, A time-delay-dependent quantization feedback control approach for networked control system, Mechatronic Systems and Control, 45(4), 2017, 172–180.
  13. [13] Y. Shang and F. Gao, Global adaptive stabilization of nonlinearly parameterized time-delay systems by state feedback, Mechatronic Systems and Control, 44(4), 2016, 153–160.
  14. [14] B.-B. Liu and W. Zhou, On adaptive iterative learning control algorithm for discrete-time systems with parametric uncertainties subject to second-order internal model, Mechatronic Systems and Control, 43(4), 2015, 183–190.
  15. [15] Y. Dozono, T. Horiuchi, and H. Katsumata, Improvement of shaking-table control by real-time compensation of the reaction force caused by a non-linear specimen, ASME Pressure Vessels Piping Div Publ PVP, 428(1), 2001, 247–255.
  16. [16] Y. Shen, Y. Yang,and T. Li, The design of dynamic simulation system on earthquake surroundings. ACADJ XJTU, 15(1), 2003, 102–106.
  17. [17] X. Li, Research on simulation control method of digital shaking table (Xi’an:Xi’an University of Architecture and Technology, 2014).

Important Links:

Go Back