Structural monitoring system based on sensitivity analysis and a neural network

Computer-Aided Civil and Infrastructure Engineering

Volumn 15, Issue 4, 2000, Pages 309-318

  Kim, Sang Hyo ^a   Yoon, Chongyul ^b   Kim, Byoung Jin ^c  

^a Yonsei University   (South Korea)

^b Hong Ik University   (South Korea)

^c Dong Ah Constr Industrial Co Ltd   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; FAILURE ANALYSIS; MATHEMATICAL MODELS; MONITORING; NEURAL NETWORKS; OPTIMIZATION; PROBABILITY; SENSITIVITY ANALYSIS;

DAMAGE ASSESSMENT METHODS; STRUCTURAL MONITORING SYSTEMS;

CIVIL ENGINEERING;

EID: 0033728907     PISSN: 10939687     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Bang, E. Y. & Yoon, J. B., Assessment of bridge structures' unknown coefficients using neural networks, Journal of the Computational Structural Engineering Institute of Korea, 8 (1) (1995), 95-102.
2. Benjamin, J. R. & Cornell, C. A., Probability, Statistics, and Decisions for Civil Engineers, McGraw-Hill, New York, 1970.
3. Choi, G., Wang, Z. X. & Dornfeld, D. A., Development of an intelligent on-line tool wear monitoring system for turning operation, in Proceedings, Japan-U.S.A. Symposium on Flexible Automation - A Pacific Rim Conference, ISCIE, Kyoto, 1990, pp. 683-90.
4. Elkordy, M. F., Chang, K. C. & Lee, G. C., Neural networks trained by analytically simulated damage states, Journal of Computing in Civil Engineering, ASCE, 7 (2) (1993), 130-45.
5. Fahlman, S. E., An empirical study of learning speed in back-propagation networks, technical report, CMU-CS-88-162, Carnegie-Mellon University, Pittsburg, September 1988.
6. Garret, J. H., Jr., Neural networks and their applicability within civil engineering, in Proceedings, 8th Annual Conference of Computing in Civil Engineering, ASCE, Dallas, June 1992, pp. 1155-62.
7. Hajela, P. & Soeiro, E. J., Structural damage detection based on static and modal analysis, AIAA Journal, 28 (6) (1990), 1110-15.
8. Haykin, S., Neural Networks: A Comprehensive Foundation, Macmillan, New York, 1994.
9. Kaouk, M. & Zimmermann, D., Structural damage assessment using a generalized minimum rank perturbation theory, in Proceedings of the 34th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Material Conference, La Jolla, Calif., 1994, pp. 1529-38.
10. Kim, D. S., Theory and Application of Neural Networks I (in Korean), Hitech Information, Seoul, 1996.
11. Norris, C. H., Wilbur, J. B. & Utku, S., Elementary Structural Analysis, 4th ed., McGraw Hill, New York, 1991.
12. Pandey, P. C. & Barai, S. V., Multilayer perceptron in damage detection of bridge structures, Computers and Structures, 54 (4) (1994), 597-608.
13. Rehak, D. R., Thewalt, C. R. & Doo, L. B., Neural network approaches in structural mechanics computations, in Computer Utilization in Structural Engineering: Proceedings of the Sessions Related to Computer Utilization at Structures Congress '89, ASCE, San Francisco, 1989, pp. 168-76.
14. Szewczyk, Z. P. & Hajela, P., Damage detection in structures based on feature-sensitive neural networks, Journal of Computing in Civil Engineering, ASCE, 8 (2) (1994), 163-78.
15. Udwadia, F. E., Methodology for optimum sensor locations for parameter identification in dynamic systems, Journal of Engineering Mechanics, ASCE, 120 (2) (1994), 368-90.
16. Wu, W., Ghaboussi, J. & Garrett, J. H., Jr., Use of neural networks in detection of structural damage, Computers and Structures, 42 (4) (1992), 649-59.