Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2013 (2013), Article ID 427072, 6 pages
http://dx.doi.org/10.1155/2013/427072
Research Article

Unsupervised Performance Evaluation Strategy for Bridge Superstructure Based on Fuzzy Clustering and Field Data

College of Transportation, Jilin University, Changchun 130025, China

Received 8 July 2013; Accepted 1 September 2013

Academic Editors: D. G. Aggelis and N. Alver

Copyright © 2013 Yubo Jiao 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. M. Chandrashekhar and R. Ganguli, “Uncertainty handling in structural damage detection using fuzzy logic and probabilistic simulation,” Mechanical Systems and Signal Processing, vol. 23, no. 2, pp. 384–404, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. R. Palma, G. Rus, and R. Gallego, “Probabilistic inverse problem and system uncertainties for damage detection in piezoelectrics,” Mechanics of Materials, vol. 41, no. 9, pp. 1000–1016, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. E. P. Carden and P. Fanning, “Vibration based condition monitoring: a review,” Structural Health Monitoring, vol. 3, no. 4, pp. 355–377, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. J. De Brito, F. A. Branco, P. Thoft-Christensen, and J. D. Sørensen, “An expert system for concrete bridge management,” Engineering Structures, vol. 19, no. 7, pp. 519–526, 1997. View at Google Scholar · View at Scopus
  5. P.-Q. Xia and J. M. W. Brownjohn, “Bridge structural condition assessment using systematically validated finite-element model,” Journal of Bridge Engineering, vol. 9, no. 5, pp. 418–423, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. Y.-M. Wang and T. M. S. Elhag, “Evidential reasoning approach for bridge condition assessment,” Expert Systems with Applications, vol. 34, no. 1, pp. 689–699, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. Y.-M. Wang and T. M. S. Elhag, “An adaptive neuro-fuzzy inference system for bridge risk assessment,” Expert Systems with Applications, vol. 34, no. 4, pp. 3099–3106, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. N.-F. Pan, T.-C. Lin, and N.-H. Pan, “Estimating bridge performance based on a matrix-driven fuzzy linear regression model,” Automation in Construction, vol. 18, no. 5, pp. 578–586, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. Code for Maintenance of Highway Bridges and Culvers, China Communications Press, 2004.
  10. S. Sasmal and K. Ramanjaneyulu, “Condition evaluation of existing reinforced concrete bridges using fuzzy based analytic hierarchy approach,” Expert Systems with Applications, vol. 35, no. 3, pp. 1430–1443, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. K. Kawamura, A. Miyamoto, D. M. Frangopol, and R. Kimura, “Performance evaluation of concrete slabs of existing bridges using neural networks,” Engineering Structures, vol. 25, no. 12, pp. 1455–1477, 2003. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Tarighat and A. Miyamoto, “Fuzzy concrete bridge deck condition rating method for practical bridge management system,” Expert Systems with Applications, vol. 36, no. 10, pp. 12077–12085, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. Y.-M. Wang and T. M. S. Elhag, “A fuzzy group decision making approach for bridge risk assessment,” Computers & Industrial Engineering, vol. 53, no. 1, pp. 137–148, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. M. Sebzalli and X. Z. Wang, “Knowledge discovery from process operational data using PCA and fuzzy clustering,” Engineering Applications of Artificial Intelligence, vol. 14, no. 5, pp. 607–616, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Podofillini, E. Zio, D. Mercurio, and V. N. Dang, “Dynamic safety assessment: scenario identification via a possibilistic clustering approach,” Reliability Engineering and System Safety, vol. 95, no. 5, pp. 534–549, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Y. Li, Engineering Fuzzy Mathematics with Application, Harbin Institute of Technology Press, 2004.
  17. H. B. Liu, Y. B. Jiao, Y. C. Cheng, and Y. F. Gong, “Reduction of uncertainties for damage identification of bridge based on fuzzy nearness and modal data,” Journal of Applied Mathematics, vol. 2012, Article ID 812932, 13 pages, 2012. View at Publisher · View at Google Scholar