Structural Engineering and Mechanics

  • 제57권1호
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  • Pages.21-43
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  • 2016
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Identification of flexible vehicle parameters on bridge using particle filter method

  • Talukdar, S. (Department of Civil Engineering, Indian Institute of Technology) ;
  • Lalthlamuana, R. (Department of Civil Engineering, Indian Institute of Technology)
  • 투고 : 2014.02.12
  • 심사 : 2015.12.02
  • 발행 : 2016.01.10
⟨ 이전 논문 다음 논문 ⟩

초록

A conditional probability based approach known as Particle Filter Method (PFM) is a powerful tool for system parameter identification. In this paper, PFM has been applied to identify the vehicle parameters based on response statistics of the bridge. The flexibility of vehicle model has been considered in the formulation of bridge-vehicle interaction dynamics. The random unevenness of bridge has been idealized as non homogeneous random process in space. The simulated response has been contaminated with artificial noise to reflect the field condition. The performance of the identification system has been examined for various measurement location, vehicle velocity, bridge surface roughness factor, noise level and assumption of prior probability density. Identified vehicle parameters are found reasonably accurate and reconstructed interactive force time history with identified parameters closely matches with the simulated results. The study also reveals that crude assumption of prior probability density function does not end up with an incorrect estimate of parameters except requiring longer time for the iterative process to converge.

키워드

참고문헌

  1. Arulampalam, M.S., Maskel, S., Gordon, N. and Clapp, T. (2002), "A tutorial on particle filters for online nonlinear/non_Gaussian Bayesian tracking", Tran. Signal Pr., IEEE, 50(2), 174-188. https://doi.org/10.1109/78.978374
  2. Bathe, K.J. and Wilson, E.L. (1987), Numerical Methods in Finite Element Analysis, Prentice Hall of India Pvt. Ltd, New Delhi, India.
  3. Chan, T.H.T., Law, S.S., Yung, T.H. and Yuan, X.R. (1999), "An interpretive method for moving force identification", J. Sound Vib., 219(3), 503-524. https://doi.org/10.1006/jsvi.1998.1904
  4. Chan, T.H.T., Yu, L. and Law, S.S. (2000), "Comparative studies on moving force identification from bridge strains in laboratory", J. Sound Vib., 235(1), 87-104. https://doi.org/10.1006/jsvi.2000.2909
  5. Ching, J., Beck, J.L. and Porter, K.A. (2006), "Bayesian state and parameter estimation of uncertain dynamical systems", Prob. Eng. Mech., 21, 81-96. https://doi.org/10.1016/j.probengmech.2005.08.003
  6. Clayton, A. and Peter, R. (1990), "Truck weights as a function of Regulatory limits", Can. J. Civil Eng., 17, 45-54. https://doi.org/10.1139/l90-007
  7. Fryba, L. (1968), Vibration of Solids and Structures under Moving Loads, Noordhoff International Publishing, Groningen, Netherlands.
  8. Fryba, L. (1996), Dynamics of Railway Bridges, Telford, London.
  9. Green, M.F. and Cebon, D. (1997), "Dynamic interaction between heavy vehicle and highway bridges", Comput. Struct., 62, 253-264. https://doi.org/10.1016/S0045-7949(96)00198-8
  10. Hodges, D.H. and Pierce, G.A. (2002), Introduction to Structural Dynamics and Aero-elasticity, Cambridge Aerospace Series.
  11. Huang, D.Z. and Wang, T.L. (1992), "Impact analysis of cable stayed bridges", Comput. Struct., 43(5), 897-908. https://doi.org/10.1016/0045-7949(92)90304-I
  12. Inman, D.J. (2001), Engineering Vibration, Prentice Hall of India Pvt. Ltd, New Delhi, India.
  13. ISO 8606 (1995), Mechanical vibration-Road surface profiles-reporting measured data.
  14. Kalman, R.E. (1960), "A new approach to linear filtering and prediction method", J. Basic Eng., ASME, 191 (82D), 35-45.
  15. Law, S.S., Chan, T.H.T. and Zeng, Q.H. (1997), "Moving force identification: a time domain method", J. Sound Vib., 201(1), 1-22. https://doi.org/10.1006/jsvi.1996.0774
  16. Law, S.S., Chan, T.H.T. and Zeng, Q.H. (1999), "Moving force identification: a frequency and time domain analysis", J. Dyn. Meas. Contr., ASME, 12, 394-401.
  17. Law, S.S. and Fang, Y.L. (2001), "Moving force identification: optimal state estimation approach", J. Sound Vib., 239(2), 233-254. https://doi.org/10.1006/jsvi.2000.3118
  18. Law S.S., Bu, J.Q., Zhu, X.Q. and Chan, S.L. (2004), "Vehicle axle loads identification using finite element method", Eng. Struct., 26(8), 1143-1153. https://doi.org/10.1016/j.engstruct.2004.03.017
  19. Meirovitch, L. (1967), Analytical Methods in Dynamics, Mc. Millan Co., London.
  20. Moses, F (1979), "Weigh-in-motion system using instrumented bridges", J. Trans Eng., ASCE, 105, 233-249.
  21. Nasrellah, H.A. and Manohar, C.S. (2010), "A particle filtering approach for structural system identification in vehicle-structure interaction problems", J. Sound Vib., 329, 1289-1309. https://doi.org/10.1016/j.jsv.2009.10.041
  22. O'Connor, C. and Chan, T.H.T (1988), "Dynamic wheel loads from bridge strains", J. Struct. Eng., ASCE, 114(8), 1703-1723. https://doi.org/10.1061/(ASCE)0733-9445(1988)114:8(1703)
  23. Sato, T. and Tanaka, Y. (2013), "Particle relaxation method for structural parameters identification based on Monte Carlo filter", Smart Struct. Syst., 11(1), 53-67. https://doi.org/10.12989/sss.2013.11.1.053
  24. Shinozuka, M. (1971), "Simulation of multivariate and multidimensional random process", J. Acoust. Soc. Am., 49, 357-367. https://doi.org/10.1121/1.1912338
  25. Velestos, A.S. and Huang, T. (1970), "Analysis of dynamic response of highway bridges", J. Eng. Mech., ASCE, 96(5), 593-620.
  26. Wen, R.K. (1960), "Dynamic response of beams traversed by two axle loads", J. Eng. Mech., ASCE, 86(5), 91-115.
  27. Yang, Y.B. and Yau, J.D. (1997), "Vehicle-bridge interaction element for dynamic analysis", J. Struct. Eng., ASCE, 123(11), 1512-1518. https://doi.org/10.1061/(ASCE)0733-9445(1997)123:11(1512)
  28. Yang, Y.B., Yau, J.D. and Wu, Y.S. (2004), Vehicle-Bridge Interaction Dynamics, World Scientific.
  29. Yang, Y.B., Chang, C.H. and Yau, J.D. (1999), "An element for analyzing vehicle-bridge systems considering vehicle's pitching effect", Int. J. Numer. Meth. Eng., 46, 1031-1047. https://doi.org/10.1002/(SICI)1097-0207(19991110)46:7<1031::AID-NME738>3.0.CO;2-V
  30. Yoshida, I. and Akiyama, M. (2013), "Particle filter model updating and reliability estimation of existing structures", Smart Struct. Syst., 11(1), 103-122. https://doi.org/10.12989/sss.2013.11.1.103
  31. Yu, L. and Chan, T.H.T. (2007), "Recent research on identification of moving loads on bridges", J. Sound Vib., 305(1-2), 3-21. https://doi.org/10.1016/j.jsv.2007.03.057
  32. Zhu, X.Q. and Law, S.S. (2000), "Study on different beam models in moving force identification", J. Sound Vib., 234(4), 661-679. https://doi.org/10.1006/jsvi.2000.2867

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