Table of Contents Author Guidelines Submit a Manuscript
Shock and Vibration
Volume 2015, Article ID 374083, 15 pages
http://dx.doi.org/10.1155/2015/374083
Research Article

Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle Based on an Improved Stochastic System Identification

1Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
2University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK

Received 21 April 2015; Accepted 22 July 2015

Academic Editor: Carlo Trigona

Copyright © 2015 Zhi Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. Mi, Z. Gu, Q. Yang, and D. Nie, “Frame fatigue life assessment of a mining dump truck based on finite element method and multibody dynamic analysis,” Engineering Failure Analysis, vol. 23, pp. 18–26, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. I. K. Yilmazçoban and Y. Kahraman, “Truck chassis structural thickness optimization with the help of finite element technique,” The Online Journal of Science and Technology, vol. 1, no. 3, pp. 23–30, 2011. View at Google Scholar
  3. Z. Chen, T. Wang, and Z. Zhao, “The lightweight design of a dump truck frame based on dynamic responses,” in Proceedings of the 18th International Conference on Automation and Computing, Paper no. 13072215, pp. 1–5, IEEE, Manchester, UK, September 2012.
  4. B. Peeters and G. De Roeck, “Stochastic system identification for operational modal analysis: a review,” Journal of Dynamic Systems, Measurement and Control, vol. 123, no. 4, pp. 659–667, 2001. View at Publisher · View at Google Scholar · View at Scopus
  5. C. E. Ventura and M. T. Katherine, “Dynamic properties of a 32-storey building determined from different analysis methods of ambient vibration test data,” in Proceedings of the 2nd International Operational Modal Analysis Conference, pp. 557–564, Copenhagen, Denmark, May 2007. View at Scopus
  6. F. Magalhães, Á. Cunha, and E. Caetano, “Online automatic identification of the modal parameters of a long span arch bridge,” Mechanical Systems and Signal Processing, vol. 23, no. 2, pp. 316–329, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. B. Peeters and G. De Roeck, “Reference-based stochastic subspace identification for output-only modal analysis,” Mechanical Systems and Signal Processing, vol. 13, no. 6, pp. 855–878, 1999. View at Publisher · View at Google Scholar · View at Scopus
  8. E. Parloo, P. Verboven, P. Guillaume, and M. Van Overmeire, “Sensitivity-based operational mode shape normalisation,” Mechanical Systems and Signal Processing, vol. 16, no. 5, pp. 757–767, 2002. View at Publisher · View at Google Scholar · View at Scopus
  9. E. Reynders and G. D. Roeck, “Reference-based combined deterministic-stochastic subspace identification for experimental and operational modal analysis,” Mechanical Systems and Signal Processing, vol. 22, no. 3, pp. 617–637, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. G. Dong, J. Chen, and N. Zhang, “Investigation into on-road vehicle parameter identification based on subspace methods,” Journal of Sound and Vibration, vol. 333, no. 24, pp. 6760–6779, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. X.-Q. Guan, M. Yuan, and J.-W. Zhang, “Application of subspace-based method in vehicle handling dynamic model identification and properties estimation,” International Journal of Vehicle Design, vol. 56, no. 1–4, pp. 125–145, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. D.-Y. Chiang, C.-S. Lin, and F.-H. Su, “Identification of modal parameters from ambient vibration data by modified eigensystem realization algorithm,” Journal of Aeronautics, Astronautics and Aviation, Series A, vol. 42, no. 2, pp. 79–86, 2010. View at Google Scholar · View at Scopus
  13. M. Chang and S. N. Pakzad, “Modified natural excitation technique for stochastic modal identification,” Journal of Structural Engineering, vol. 139, no. 10, pp. 1753–1762, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Zhang, Z. Zhang, X. Xu, and H. Hua, “Modal parameter identification using response data only,” Journal of Sound and Vibration, vol. 282, no. 1-2, pp. 367–380, 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. E. Reynders, R. Pintelon, and G. de Roeck, “Uncertainty bounds on modal parameters obtained from stochastic subspace identification,” Mechanical Systems and Signal Processing, vol. 22, no. 4, pp. 948–969, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. J.-S. Lew, J.-N. Juang, and R. W. Longman, “Comparison of several system identification methods for flexible structures,” Journal of Sound and Vibration, vol. 167, no. 3, pp. 461–480, 1993. View at Publisher · View at Google Scholar · View at Scopus
  17. D.-Y. Chiang and C.-S. Lin, “Identification of modal parameters from ambient vibration data using eigensystem realization algorithm with correlation technique,” Journal of Mechanical Science and Technology, vol. 24, no. 12, pp. 2377–2382, 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. C. R. Farrar and G. H. James III, “System identification from ambient vibration measurements on a bridge,” Journal of Sound and Vibration, vol. 205, no. 1, pp. 1–18, 1997. View at Publisher · View at Google Scholar · View at Scopus
  19. B. A. Pridham and J. C. Wilson, “A study of damping errors in correlation-driven stochastic realizations using short data sets,” Probabilistic Engineering Mechanics, vol. 18, no. 1, pp. 61–77, 2003. View at Publisher · View at Google Scholar · View at Scopus
  20. D. M. Siringoringo and Y. Fujino, “System identification of suspension bridge from ambient vibration response,” Engineering Structures, vol. 30, no. 2, pp. 462–477, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. J.-N. Juang, J. E. Cooper, and J. R. Wright, “Eigensystem Realization Algorithm using Data Correlations (ERA/DC) for modal parameter identification,” Control-Theory and Advanced Technology, vol. 4, no. 1, pp. 5–14, 1988. View at Google Scholar · View at Scopus
  22. R. J. Allemang, “The modal assurance criterion—twenty years of use and abuse,” Sound and Vibration, vol. 37, no. 8, pp. 14–21, 2003. View at Google Scholar · View at Scopus