Application of probabilistic neural network and static test data to the classification of bridge damage patterns

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5057, Issue , 2003, Pages 606-617

  Yan, Banfu ^a   Miyamoto, Ayaho ^a  

^a YAMAGUCHI UNIVERSITY   (Japan)

Author keywords

Cable stayed bridge; Damage pattern classification; Noise level; Probabilistic neural network; Static test data

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; CONTAMINATION; DEFLECTION (STRUCTURES); FINITE ELEMENT METHOD; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; PATTERN RECOGNITION;

DAMAGE PATTERNS; NOISE LEVEL;

SUSPENSION BRIDGES;

EID: 0242720349     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.482684     Document Type: Conference Paper

References (17)

1. S.W. Doebling, C.R. Farrar, M.B. Prime and D.W. Shevitz, Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review, Technical Report LA-13070-MS, Los Alamos National Laboratory, NM, 1996.
2. A.E. Aktan, F.N. Catbas, K.A. Grimmelsman, and C.J. Tsikos, Issues in Infrastructure Health Monitoring for Management, Journal of Engineering Mechanics, ASCE, 126(7), pp.0711-0724, 2000.
3. F.N. Catbas and A.E. Aktan, Condition and Damage Assessment: Issues and Some Promising Indices, Journal of Structural Engineering, ASCE, 128(8), pp.1026-1036, 2002.
4. C.B. Yun and H.J. Lee, Substructural Identification for Damage Estimation of Structures, Structural Safety, 19(1), pp.121-140, 1997.
5. M. Sanayei and M.J. Saletnik, Parameter Estimation of Structures from Static Strain Measurements. I: Formulation, Journal of Structural Engineering, ASCE, 122(5), pp.0555-0562, 1996.
6. M. Sanayei, S. Wadia-Fascetti, B. Arya and E.M. Santini, Significance of Modeling Error in Structural Parameter Estimation, Computer-Aided Civil Infrastructure Engineering, 16(1), pp. 12-27, 2001.
7. M. Sanayei, S.W. Doebling, C.R. Farrar and S. Wadia-Fascetti, Challenges in Parameter Estimation for Condition Assessment of Structures, in proceedings of structural engineers world congress, Elsevier Science, New York, 1998.
8. th Annual International Symposium on Smart Structures and Materials, Newport Beach, CA, March 4-8, 2001.
9. M.W. Vanik, J. L. Beck, and S.K. Au, Bayesian Probabilistic Approach to Structural Health Monitoring, Journal of Engineering Mechanics, ASCE, 126(7), pp.0738-0745, 2000.
10. J. Zhao, J.N. Ivan and J.T. De Wolf, Structural Damage Detection Using Artificial Neural Networks, Journal of Infrastructure Systems, ASCE, 4(3), pp.0093-0101, 1998.
11. D. Specht, Probabilistic Neural Networks. Neural Networks, vol.3, pp.109-118, 1990.
12. A. Zaknich, Introduction to the Modified Probabilistic Neural Network for General Signal Processing Applications, IEEE Transactions on Signal Processing, 46(7), pp. 1980-1990, 1998
13. A. De Stefano, D. Sabia and L. Sabia, Probabilistic Neural Networks for Seismic Damage Mechanisms Prediction, Earthquake Engng. Struct. Dyn. 28, pp.807-821, 1999.
14. Y.Q. Ni, X.T. Zhou, J.M. Ko and B.S. Wang, Vibration-Based Damage Location in Ting Kau Bridge Using Probabilistic Neural network, Advances in Structural Dynamics, J. M. Ko and Y. L. Xu (eds), Elsevier Science Ltd Oxford, UK, II, pp. 1069-1076, 2000.
15. A.T.C. Goh, Probabilistic neural network for evaluating seismic liquefaction potential, Can. Geotech. J., 39, pp.219-232, 2002.
16. S.J. Song and Y.K. Shin, "Eddy current flaw characterization in tubes by neural networks and finite element modelling", NDE&E International, 33, pp.233-243, 2000.
17. X. Jin, R.L. Cheu and D. Srinivasan, "Development and adaptation of constructive probabilistic neural network in freeway incident detection", Transportation Research Part C, 10, pp.121-147, 2002.