DOI QR코드

DOI QR Code

An equivalent linearization method for nonlinear systems under nonstationary random excitations using orthogonal functions

  • Younespour, Amir (Department of Civil and Environmental Engineering, University of Tabriz) ;
  • Cheng, Shaohong (Department of Civil and Environmental Engineering, University of Windsor) ;
  • Ghaffarzadeh, Hosein (Department of Civil and Environmental Engineering, University of Tabriz)
  • Received : 2017.09.07
  • Accepted : 2018.02.08
  • Published : 2018.04.10

Abstract

Many practical engineering problems are associated with nonlinear systems subjected to nonstationary random excitations. Equivalent linearization methods are commonly used to seek for approximate solutions to this kind of problems. Compared to various approaches developed in the frequency and mixed time-frequency domains, though directly solving the system equation of motion in the time domain would improve computation efficiency, only limited studies are available. Considering the fact that the orthogonal functions have been widely used to effectively improve the accuracy of the approximated responses and reduce the computational cost in various engineering applications, an orthogonal-function-based equivalent linearization method in the time domain has been proposed in the current paper for nonlinear systems subjected to nonstationary random excitations. In the numerical examples, the proposed approach is applied to a SDOF system with a set-up spring and a SDOF Duffing oscillator subjected to stationary and nonstationary excitations. In addition, its applicability to nonlinear MDOF systems is examined by a 3DOF Duffing system subjected to nonstationary excitation. Results show that the proposed method can accurately predict the nonlinear system response and the formulation of the proposed approach allows it to be capable of handling any general type of nonstationary random excitations, such as the seismic load.

Keywords

Acknowledgement

Supported by : Ministry of Science, Research and Technology of Islamic

References

  1. Apetaur, M. and Opicka, F. (1983), "Linearization of non-linear stochastically excited dynamic systems", J. Sound Vibr., 86(4), 563-585. https://doi.org/10.1016/0022-460X(83)91021-0
  2. Atalik, T.S. and Utku, S. (1976), "Stochastic linearization of multi-degree-of-freedom non-linear systems", Earthq. Eng. Struct. Dyn., 4(4), 411-420. https://doi.org/10.1002/eqe.4290040408
  3. Bogdanoff, J.L., Goldberg, J.E. and Bernard, M.C. (1961), "Response of a simple structure to a random earthquake-type disturbance", Bullet. Seismol. Soc. Am., 51(2), 293-310.
  4. Caughey, T.K. (1956), "Response of van der pol's oscillator to random excitations", Trans. ASME J. Appl. Mech., 26(3), 345-348.
  5. Chaudhuri, A. and Chakraborty, S. (2004), "Sensitivity evaluation in seismic reliability analysis of structures", Comput. Meth. Appl. Mech. Eng., 193(1-2), 59-68. https://doi.org/10.1016/j.cma.2003.09.007
  6. Chen, C.F. and Hsiao, C.H. (1975), "Time-domain synthesis via walsh functions", Electr. Eng. Proc. Inst., 122(5), 565-570. https://doi.org/10.1049/piee.1975.0155
  7. Crandall, S.H. (1962), "Random vibration of a nonlinear system with a set-up spring", J. Appl. Mech., 29(3), 477-482. https://doi.org/10.1115/1.3640591
  8. Crandall, S.H. (1963), "Perturbation techniques for random vibration of nonlinear systems", J. Acoust. Soc. Am., 35(11), 1700-1705. https://doi.org/10.1121/1.1918792
  9. Crandall, S.H. (1980), "Non-gaussian closure for random vibration of non-linear oscillators", J. Non-Lin. Mech., 15(4-5), 303-313. https://doi.org/10.1016/0020-7462(80)90015-3
  10. Datta, K.B. and Mohan, M. (1995), Orthogonal Functions in Systems and Control, World Scientific Publishing Co. Pte. Ltd, Singapore.
  11. Doughty, T.A., Davies, P. and Bajaj, A.K. (2002), "A Comparison of three techniques using steady data to identify non-linear modal behavior of an externally excited cantilever beam", J. Sound Vibr., 249(4), 785-813. https://doi.org/10.1006/jsvi.2001.3912
  12. Garre, L. and Der Kiureghian, A. (2010), "Tail-equivalent linearization method in frequency domain and application to marine structures", Mar. Struct., 23(3), 322-338. https://doi.org/10.1016/j.marstruc.2010.07.006
  13. Hu, Z., Su, C., Chen, T. and Ma, H. (2016), "An explicit timedomain approach for sensitivity analysis of non-stationary random vibration problems", J. Sound Vibr., 382, 122-139. https://doi.org/10.1016/j.jsv.2016.06.034
  14. Iwan, W.D. and Yang, I.M. (1972), "Application of statistical linearization techniques to nonlinear multidegree-of-freedom systems", J. Appl. Mech., 39(2), 545-550. https://doi.org/10.1115/1.3422714
  15. Jiang, Z. and Schaufelberger, W. (1992), Block Pulse Functions and Their Applications in Control Systems, Springer Berlin Heidelberg, Berlin, Germany.
  16. Kovacic, I. and Brennan, M.J. (2011), The Duffing Equation: Nonlinear Oscillators and their Behaviour, John Wiley & Sons, U.K.
  17. Liu, Q.M. (2012), "Sensitivity and hessian matrix analysis of evolutionary PSD functions for nonstationary random seismic responses", J. Eng. Mech., 138(6), 716-720. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000380
  18. Lutes, L.D. and Sarkani, S. (2004), Random Vibrations Analysis of Structural and Mechanical Systems, Elsevier Inc., Jordan Hill, Oxford, U.K.
  19. Ma, C., Zhang, Y., Zhao, Y., Tan, P. and Zhou, F. (2011), "Stochastic seismic response analysis of base-isolated high-rise buildings", Proc. Eng., 14, 2468-2474. https://doi.org/10.1016/j.proeng.2011.07.310
  20. Orabi, I.I. and Ahmadi, G. (1987), "An iterative method for nonstationary response analysis of non-linear random systems", J. Sound Vibr., 119(1), 145-157. https://doi.org/10.1016/0022-460X(87)90194-5
  21. Pacheco, R.P. and Steffen Jr, V. (2004), "On the identification of non-linear mechanical systems using orthogonal functions", J. Non-Lin. Mech., 39(7), 1147-1159. https://doi.org/10.1016/S0020-7462(03)00112-4
  22. Proppe, C., Pradlwarter, H.J. and Schueller, G.I. (2003), "Equivalent linearization and Monte Carlo simulation in stochastic dynamics", Probab. Eng. Mech., 18(1), 1-15. https://doi.org/10.1016/S0266-8920(02)00037-1
  23. Socha, L. (1998), "Probability density equivalent linearization technique for nonlinear oscillator with stochastic excitations", ZAMM-J. Appl. Math. Mech. Zeitschrift fur Angewandte Mathematik und Mechanik, 78(S3), 1087-1088. https://doi.org/10.1002/zamm.199807815111
  24. Su, C., Huang, H. and Ma, H. (2016), "Fast equivalent linearization method for nonlinear structures under nonstationary random excitations", J. Eng. Mech., 142(8).
  25. Su, C. and Xu, R. (2014), "Random vibration analysis of structures by a time-domain explicit formulation method", Struct. Eng. Mech., 52(2), 239-260. https://doi.org/10.12989/sem.2014.52.2.239
  26. Xu, W.T., Zhang, Y.H., Lin, J.H., Kennedy, D. and Williams, F.W. (2011), "Sensitivity analysis and optimization of vehiclebridge systems based on combined PEM-PIM strategy", Comput. Struct., 89(3-4), 339-345. https://doi.org/10.1016/j.compstruc.2010.11.011
  27. Younespour, A. and Ghaffarzadeh, H. (2015), "Structural active vibration control using active mass damper by block pulse functions", J. Vibr. Contr., 21(14), 2787-2795. https://doi.org/10.1177/1077546313519285
  28. Younespour, A. and Ghaffarzadeh, H. (2016), "Semi-active control of seismically excited structures with variable orifice damper using block pulse functions", Smart Struct. Syst., 18(6), 1111-1123. https://doi.org/10.12989/sss.2016.18.6.1111
  29. Zhang, R. (2000), "Work/energy-based stochastic equivalent linearization with optimized power", J. Sound Vibr., 230(2), 468-475. https://doi.org/10.1006/jsvi.1999.2574
  30. Zhu, W.Q. (2006), "Nonlinear stochastic dynamics and control in Hamiltonian formulation", Appl. Mech. Rev., 59(4), 230-248. https://doi.org/10.1115/1.2193137