A soft post-earthquake damage identification methodology using vibration time series

Smart Materials and Structures

Volumn 14, Issue 3, 2005, Pages

  Xu, Bin ^a,b   Wu, Zhishen ^c   Yokoyama, Koichi ^c   Harada, Takao ^c   Chen, Genda ^a  

^a University of Missouri Rolla   (United States)

^b HUNAN UNIVERSITY   (China)

^c IBARAKI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; INTELLIGENT STRUCTURES; NEURAL NETWORKS; PARAMETER ESTIMATION; STATE SPACE METHODS; STRUCTURAL ANALYSIS; TIME SERIES ANALYSIS; VECTORS; VIBRATION MEASUREMENT; VIBRATIONS (MECHANICAL);

PARAMETRIC EVALUATION NEURAL NETWORK (PENN); SMART ENGINEERING STRUCTURES; STATE SPACE EQUATIONS; STRUCTURAL DYNAMICS;

EARTHQUAKE EFFECTS;

EID: 19944389895     PISSN: 09641726     EISSN: None     Source Type: Journal    
DOI: 10.1088/0964-1726/14/3/014     Document Type: Conference Paper

References (24)

1. Agbabian M S, Masri S F and Miller R K 1991 System identification approach to detection of structural changes J. Eng. Mech. ASCE 117 370-90
2. Ghaboussi J and Joghatatie A 1995 Active control of structures using neural networks J. Eng. Mech. ASCE 121 555-67
3. Ghanem R and Shinozuka M 1995 Structural-system identification, I: theory J. Eng. Mech. ASCE 121 255-64
4. Koh C G, See L M and Balendra T 1991 Estimation of structural parameters in time domain: a substructure approach Earthq. Eng. Struct. Dyn. 20 787-802
5. Masri S F, Miller R K, Saud A F and Caughey T K 1987a Identification of nonlinear vibrating structures; Part I: formulation J. Appl. Mech. Trans. ASME 109 918-22
6. Masri S F, Miller R K, Saud A F and Caughey T K 1987b Identification of nonlinear vibrating structures; Part II: applications J. Appl. Mech. Trans. ASME 109 923-9
7. Masri S F, Smyth A W, Chassiakos A G, Caughey T K and Hunter N F 2000 Application of neural networks for detection of changes in nonlinear systems J. Eng. Mech. ASCE 126 666-76
8. Mcverry G H 1980 Structural identification in frequency domain from earthquake records Earthq. Eng. Struct. Dyn. 8 161-80
9. Nakamura M, Masri S F, Chassiakos AG and Caughey T K 1998 A method for non-parametric health monitoring through the use of neural networks Earthq. Eng. Struct. Dyn. 27 997-1010
10. Ni Y Q, Ko J M and Wong C W 1999 Nonparametric identification of nonlinear hysteretic systems J. Eng. Mech. 125 206-15
11. Rosenblatt F 1962 Principles of Neurodynamics (New York: Spartan Books)
12. Worden K 1997 Structural fault detection using a novelty measure J. Sound Vib. 201 85-101
13. Wu Z S, Iwamatsu S and Harada T 1996 Computational modeling on parameter estimation of large scale structures from static response 3rd Asian-Pacific Conf. on Computational Mechanics (Seoul 1996) pp1105-9
14. Wu Z S, Xu B and Yokoyama K 2002 Decentralized parametric damage based on neural networks Comput. Aided Civil Infrastruct. Eng. 17 175-84
15. Xu B, Wu Z S, Chen G and Yokoyama K 2004 Direct identification of structural parameters from dynamic responses with neural networks Eng. Appl. Artif. Intell. 17 931-43
16. Xu B, Wu Z S and Yokoyama K 2000a Decentralized identification of large-scale structure-AMD coupled system using multi-layer neural networks Trans. Japan Soc. Comput. Eng. Sci. 2 187-97
17. Xu B, Wu Z S and Yokoyama K 2000b Adaptive vibration control of structure-AMD coupled system using multi-layer neural networks J. Appl. Mech. JSCE 3 427-38
18. Xu B, Wu Z S and Yokoyama K 2002 A localized identification method with neural networks and its application to structural health monitoring J. Struct. Eng. JSCE 48A 419-27
19. Xu B, Wu Z S and Yokoyama K 2003a Response time series based structural parametric assessment approach with neural networks Proc. 1st Int. Conf. on Structural Health Monitoring and Intelligent Infrastructure (Tokyo, 2003) pp601-10
20. Xu B, Wu Z S and Yokoyama K 2003b Neural networks for decentralized control of a cable-stayed bridge J. Bridge Eng. ASCE 8 229-36
21. Xu B, Wu Z S, Yokoyama K and Harada T 2001 Adaptive localized control of structure-actuator coupled system using multi-layer neural networks J. Struct. Mech. Earthq. Eng. JSCE 18 81-93
22. Yun C B and Bahng E Y 2000 Substructural identification using neural networks Comput. Struct. 77 41-52
23. Yun C B and Lee H J 1997 Substructural identification for damage estimation of structures Struct. Safety 19 121-40
24. Zhao J, Ivan J N and Dewolf T 1998 Structural health monitoring using artificial neural networks J. Infrastruct. Syst. 4 93-101