Unsupervised fuzzy neural networks for damage detection of structures

Structural Control and Health Monitoring

Volumn 14, Issue 1, 2007, Pages 144-161

  Wen, C M ^a   Hung, S L ^a   Huang, C S ^a   Jan, J C ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

BPN; Damage detection; Unsupervised fuzzy neural network

Indexed keywords

BACKPROPAGATION; DAMAGE DETECTION; FUZZY CONTROL; MODAL ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); STIFFNESS; STRUCTURAL ANALYSIS;

BACKPROPAGATION NETWORK (BPN); DAMAGE LOCALIZATION FEATURE (DLF); MODAL DATA; UNSUPERVISED FUZZY NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 33847708376     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.116     Document Type: Article

References (29)

1. Kim JT, Stubbs N. Damage detection in offshore jacket structures from limited modal information. International Journal of Offshore and Polar Engineering 1995; 5(1):58-66.
2. Topole KG, Stubbs N. Nondestructive damage evaluation in complex structures from a minimum of modal parameters. The International Journal of Analytical and Experimental Modal Analysis 1995; 10(2):95-104.
3. Stubbs N, Topole KG. A damage localization algorithm for nonlinear structures. In: Natke GR, Yao JTP (eds) Safety Evaluation Based on Identification Approach Related to Time-variant and Nonlinear Structures. Vieweg 1993; 93-106.
4. Wen YK. Intelligent structures 2: monitoring and control. Proceedings of the International Workshop on Intelligent Systems, New York, 1992; 1-10.
5. Cawley P, Adams RD. The location of defects in structures from measurements of natural frequencies. Journal of Strain Analysis 1979; 14(2):49-57.
6. Penny JET, Wilson D, Friswell MI. Damage location in structures using vibration data. Proceedings of the 11th International Modal Analysis Conference, Kissimee, 1993; 861-867.
7. Contursi T, Messina A, Williams EJ. A multiple-damage location assurance criterion based on natural frequency changes. Journal of Vibration and Control 1998; 4(5):619-363.
8. Messina A, Jones IA, Williams EJ. Damage detection and localisation using natural frequency changes. Proceedings of the Conference on Identification in Engineering Systems, Swansea, 1996; 67-76.
9. Messina A, Williams EJ, Contursi T. Structural damage detection by a sensitivity and statistical-based method. Journal of Sound and Vibration 1998; 216(5):791-808.
10. West WM. Illustration of the use of modal assurance criterion to detect structural changes in an orbiter test specimen. Proceedings of the 4th International Modal Analysis Conference, 1986; 1-5.
11. Lieven NAJ, Ewins DJ. Spatial correlation of mode shapes, the coordinate modal assurance criterion (COMAC). Proceedings of the 5th International Modal Analysis Conference, 1988; 690-695.
12. Biswas M, Pandey AK, Samman MM. Diagnosis experiment spectral/modal analysis of highway bridges. The International Journal of Analytical and Experimental Modal Analysis 1990; 5(1):33-42.
13. Topole KG, Stubbs N. Non-destructive damage evaluation of a structure from limited modal parameters. Earthquake Engineering and Structural Dynamics 1995; 24(12):1427-1436.
14. Shi ZY, Law SS, Zhang LM. Damage localization by directly using incomplete mode shapes. Journal of Engineering Mechanics (ASCE) 2000; 126(6):656-660.
15. Hearn G, Testa RB. Modal analysis for damage detection in structures. Journal of Structural Engineering (ASCE) 1991; 117(10):3042-3063.
16. Shi ZY, Law SS, Zhang LM. Structural damage localization from modal strain energy change. Journal of Sound and Vibration 1998; 218(5):825-844.
17. Masri SF, Chassiakos AG, Caughey TK. Identification of nonlinear dynamic systems using neural networks. Journal of Applied Mechanics 1993; 60:123-133.
18. Ghaboussi J, Garrett JH, Wu X. Knowledge-based modeling of material behavior with neural networks. Journal of Engineering Mechanics (ASCE) 1991; 117(1):132-153.
19. Wu X, Ghaboussi J, Garrett Jr JH. Use of neural networks in detection of structural damage. Computers and Structures 1992; 42(4):649-659.
20. Elkordy MF. Application of Neural Networks in Structural Damage Diagnosis and Condition Monitoring. UMI Dissertation Services, A Bell & Howell Company, 1992.
21. Zhao J, Ivan JN, DeWolf JT. Structural damage detection using artificial neural networks. Journal of Infrastructure Systems (ASCE) 1998; 4(2):93-101.
22. Masri SF, Nakamura M, Chassiakos AG, Caughey TK. Neural network approach to the detection of changes in structural parameters. Journal of Engineering Mechanics (ASCE) 1996; 122(4):350-360.
23. Masri SF, Smyth AW, Chassiakos AG, Caughey TK, Hunter NF. Application of neural networks for detection of changes in nonlinear systems. Journal of Engineering Mechanics (ASCE) 2000; 126(7):666-676.
24. Huang CS, Hung SL, Wen CM, Tu TT. A neural network approach for structural identification and diagnosis of a building from seismic response data. Earthquake Engineering and Structural Dynamics 2003; 32(2):187-206.
25. Lam HF, Ko JM, Wong CW. Localization of damaged structural connections based on experimental modal and sensitivity analysis. Journal of Sound and Vibration 1998; 210(1):91-115.
26. Hung SL, Jan JC. Machine learning in engineering design: an unsupervised fuzzy neural network learning model. Proceedings of the Conference on Intelligent Information Systems, IEEE Computer Society, California, 1997; 156-160.
27. Hung SL, Jan JC. Machine learning in engineering analysis and design: an integrated fuzzy neural network learning model. Computer-Aided Civil and Infrastructure Engineering 1999; 14:207-219.
28. Hung SL, Jan JC. Augmented IFN Learning Model. Journal of Computing in Civil Engineering (ASCE) 2000; 14(1):15-22.
29. Shi ZY, Law SS, Zhang LM. Structural damage detection from modal strain energy change. Journal of Engineering Mechanics (ASCE) 2000; 126(12):1216-1223.