Time-delay neural networks in damage detection of railway bridges

Advances in Engineering Software

Volumn 28, Issue 1, 1997, Pages 1-10

  Barai, S V ^a   Pandey, P C ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DELAY CIRCUITS; FRACTURE FIXATION; RAILROAD BRIDGES; TIME DOMAIN ANALYSIS; VIBRATIONS (MECHANICAL);

TIME-DELAY NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 0030819328     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0965-9978(96)00038-5     Document Type: Article

References (22)

1. Rumelhart, D. E., Hinton, G. E. & Williams, R. J. Learning internal representations by error propagation. Parallel Distributed Processing: Explorations in the Microstructures of Cognition, ed. D. E. Rumelhart, J. L. McCelland Vol. 1: Foundations, pp. 318-62, MIT Press, Cambridge, 1986.
2. Lippman, R. P. An introduction to computing with neural nets. IEEE ASSP Magazine, 1987, 4(2), 4-22.
3. Flood, I. & Kartam, N. Neural networks in civil engineering I: principles and understanding. J. Comput. Civil Engng, ASCE, 1994, 8, 131-48.
4. Flood I. & Kartam, N. Neural networks in civil engineering II: systems and application. J. Comput. Civil Engng, ASCE, 1994, 8, 148-62.
5. Fu, L. Neural Networks in Computer Intelligence. McGraw Hill, New York, 1994.
6. Waibel, A., Hanazawa, T., Hinton, G., Shikano, K. & Lang, K. J. Phonem recognition using time-delay neural networks. IEEE Trans. Acoustics, Speech Signal Processing, 1989, 37, March.
7. Lang, K. J., Waibel, A. H. & Hinton, G. E. A time-delay neural network architecture for isolated word recognition. Neural Networks, 1990, 3.
8. Adams, R. D., Cawley, P., Pye, C. J. & Stone, B. J. Vibration techniques for non-destructively assessing the integrity of structures. J. Mech. Sci., 1978, 20, 93-100.
9. Cawley, P. & Adams, R. D. The location of defects in structures from measurement of natural frequencies. J. Strain Analysis, 1979, 14(2), 49-57.
10. Yao, G. C., Chang, K. C. & Lee, G. C. Damage diagnosis of steel frames using vibrational signature analysis. J. Engng. Mech. ASCE, 1992, 118, 1949-61.
11. Samman, M. M. & Biswas, M. Vibration testing for nondestructive evaluation of bridges. I: theory. J. Struct. Engng, ASCE, 1994, 120, 269-89.
12. Samman, M. M. & Biswas, M. Vibration testing for nondestructive evaluation of bridges. II: results. J. Struct. Engng., ASCE, 1994, 120, 290-306.
13. Jain, B. K. Estimation of fatigue life as a basis of technical decision regarding replacement of early steel rail road bridges on Indian Railways, Technical monograph-49, RDSO, 1984.
14. Szewczyk, Z. P. & Hajela, P. Damage detection in structure based on feature-sensitive neural networks. J. Comput. Civil Engng, ASCE, 1994, 8, 163-78.
15. Pandey, P. C. & Barai, S. V. Multilayer perceptron in damage detection of bridge structures. Comput. Struct., 1995, 54, 597-608.
16. Wu, X., Ghaboussi, J. & Garrett, J. H. Use of neural networks in detection of structural damage. Comput. Structures, 1992, 42, 649-59.
17. Elkordy, M. F., Chang, K. C. & Lee, G. C. Neural networks trained by analytically simulated damaged states. J. Comput. Civil Engng, ASCE, 1993, 7, 130-45.
18. Barai, S. V. & Pandey, P. C. Vibration signature analysis using artificial neural networks in structural identification. J. Comput. Civil Engng, ASCE, 1995, 9, 259-65.
19. Pao, Y.-H. Adaptive Pattern Recognition and Neural Networks. Addison-Wesley, Madison, 1989.
20. Barai S. V. & Pandey, P. C. Performance of generalized delta rule in artificial neural networks for structural damage detection. Engng Applic. Artif. Intell., 1995, 8, 211-21.
21. Pietraszek, T. T. & Oommen, G. Static and dynamic behaviors of an 85-year-old steel railway bridge. Can. J. Civil Engng, 1991, 18, 201-13.
22. Agrawal, S. R. Steel bridges in Indian Railways. Advances in Steel Structures, ed. V. Kalyanraman, pp. 227-243, Tata McGraw Hill, New Delhi, India, 1990.