Prediction of unmeasured mode shape using artificial neural network for damage detection

Jurnal Teknologi (Sciences and Engineering)

Volumn 61, Issue 1, 2013, Pages 57-66

  Goh, L D ^a,b   Bakhary, N ^a   Rahman, A A ^a   Ahmad, B H ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Artificial neural network; Cubic spline; Damage detection; Mode shape

Indexed keywords

EID: 84875405680     PISSN: 01279696     EISSN: 21803722     Source Type: Journal    
DOI: 10.11113/jt.v61.1624     Document Type: Article

References (27)

1. S. W. Doebling, C. R. Farrar, M. B. Prime, D. W. Shevitz. 1996. Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review. In Los Alamos National Laboratory Report, LA-13070-MS.
2. H. Sohn, C. R. Farrar, F. Hemez, J. Czarnecki. 2003. A Review of Structural Health Monitoring Literature: 1996-2001. In Los Alamos National Laboratory Report. LA-13976-MS.
3. J. Li, J. Wang, S. L. J. Hu. 2008. Using Incomplete Modal Data for Damage Detection in Offshore Jacket Structures. Ocean Engineering. 35: 1793-1799.
4. Q. W. Yang, J. K. Liu. 2007. Structural Damage Identification Based on Residual Force Vector. Journal of Sound and Vibration. 305: 298-307.
5. F. T. K. Au, Y. S. Cheng, L. G. Tham, Z. Z. Bai. 2003. Structural Damage Detection Based on a Micro-genetic Algorithm Using Incomplete and Noisy Modal Test Data. Journal of Sound and Vibration. 259: 1081-1094.
6. S. S. Law, T. H. T. Chan, D. Wu. 2001. Efficient Numerical Model for the Damage Detection of Large Scale. Engineering Structures. 23: 436-451.
7. M. Merhjoo, N. Khaji, H. Moharrami, A. Bahreininejad. 2008. Damage Detection of Truss Bridge Joints Using Artificial Neural Networks. Expert Systems with Application. 35: 1122-1131.
8. C. B. Yun, E. Y. Bahng. 2000. Substructural Identification Using Neural Networks. Computers & Structures. 77: 41-52.
9. B. Xu. 2006. Neural Networks Based Structural Model Updating Methodology Using Spatially Incomplete Accelerations. In: L. Jiao, (Ed.). International Conference on Natural Computation, Springer-Verlag. 361-370.
10. J. Carvalho, B. N. Datta, A. Gupta, M. Lagadapati. 2007. A Direct Method for Model Updating with Incomplete Measured Data and Without Spurious Modes. Mechanical Systems and Signal Processing. 2: 2715-2731.
11. N. Bakhary, H. Hao, A. J. Deeks. 2010. Structure Damage Detection Using Neural Network with Multi-Stage Substructuring. Advances in Structural Engineering. 13: 95-110.
12. E. Parloo, S. Vanlanduit, P. Guillaume, P. Verboven. 2004. Increased Reliability of Reference-based Damage Identification Techniques by Using Output-Only Data. Journal of Sound and Vibration. 270: 813832.
13. M. Meo, G. Zumpano. 2005. On the optimal sensor placement tehcniques for a bridge structure. Engineering Structures. 27: 14881497.
14. L. J. Hadjileontiadisa, E. Douka. 2007. Crack detection in plates using fractal dimension. Engineering Structures. 29: 1612-1625.
15. T. H. Ooijevaar, R. Loendersloot, L. L. Warnet, A. d. Boer, R. Akkerman. 2010. Vibration Based Structural Health Monitoring of a Composite T-beam. Composite Structures. 92: 2007-2015.
16. S. Loutridisa, E. Douka, A. Trochidis. 2004. Crack Identification in Double-cracked Beams Using Wavelet Analysis. Journal of Sound and Vibration. 277: 1025-1039.
17. M. Rucka, K. Wilde. 2006. Application of Continuous Wavelet Transform in Vibration Based Damage Detection Method for Beams And Plates. Journal of Sound and Vibration. 297: 536-550.
18. W. L. Bayissaa, N. Haritosa, S. Thelandersson. 2008. Vibration-based Structural Damage Identification Using Wavelet Transform. Mechanical Systems and Signal Processing. 22: 1194-1215.
19. M. Radzienski, M. Krawczuk, M. Palacz. 2011. Improvement of Damage Detection Methods Based on Experimental Modal Parameters. Mechanical Systems and Signal Processing. 25: 2169-2190.
20. J. Rhim, S. W. Lee. 1995. A Neural Network Approach for Damage Detection and Identification Of Structures. Computational Mechanics. 16: 437-443.
21. P. C. Pandey, S. V. Barai. 1995. Multilayer Perceptron in Damage Detection of Bridge Structures. Computers & Structures. 54: 597-608.
22. S. F. Masri, M. Nakamura, A. G. Chassiakos, T. K. Caughey. 1996. Neural Network Approach to Detection of Changes in Structural Parameters. Journal of Engineering Mechanics. 122: 350-360.
23. J. Zhao, J. N. Ivan, J. T. Dewolf. 1998. Structural Damage Detection Using Artificial Neural Networks. Journal of Infrastructure Systems. 4: 93-101.
24. C. Gonzalez-Perez, J. Valdes-Gonzalez. 2011. Identification Of Structural Damage in a Vehicular Bridge Using Artificial Neural Networks. Structural Health Monitoring. 10: 33-48.
25. B. S. Wang, Z. C. He. 2007. Crack Detection of Arch Dam Using Statistical Neural Network Based on the Reductions of Natural Frequencies. Journal of Sound and Vibration. 302: 1037-1047.
26. S. McKinley, M. Levine. 2011. Cubic spline interpolation, in http: //online. redwoods. cc. ca. us/instruct/darnold/laproj/Fall98/SkyMeg/ Proj. PDF. 5 August 2011.
27. N. Bakhary. 2010. Statistical Vibration Based Damage Identification Using Artificial Neural Network. Jurnal Teknologi. 52: 49-60.