Application of time series analysis in structural damage evaluation

Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure

Volumn 1, Issue , 2003, Pages 529-534

  Nair, K K ^a   Kiremidjian, A S ^a   Lei, Y ^a   Lynch, J P ^a   Law, K H ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO REGRESSIVE MODELS; AUTO-REGRESSIVE; BENCHMARK BUILDING; BENCHMARK STRUCTURE; DAMAGE PATTERNS; DAMAGE-SENSITIVE FEATURES; DAMAGED STRUCTURES; DETECTION AND LOCALIZATION; DETECTION APPROACH; DIFFERENT DAMAGES; EMPIRICAL DISTRIBUTIONS; EXOGENOUS INPUT; LOS ALAMOS NATIONAL LABORATORY; PREDICTION MODEL; REFERENCE DATABASE; RESIDUAL ERROR; SERIES ANALYSIS; STRUCTURAL DAMAGES; TASK GROUPS; THRESHOLD LIMITS;

DAMAGE DETECTION; MATHEMATICAL MODELS; STRUCTURAL ANALYSIS;

TIME SERIES ANALYSIS;

EID: 84857776093     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Boore, D., Stephens, C.D. & Joyner, W.B. 2002. Comments on baseline correction of digital strong-motion data: Examples from the 1999 Hector Mine, California, earthquake. Bulletin of the Seismological Society of America, 92(4): 1543-1560. (Pubitemid 34979460)
2. Box, G.E., Jenkins, G.M. & Reinsel, G.C. 1994. Time Series Analysis: Forecasting and Control, New Jersey: Prentice-Hall, Inc.
3. Chatfield, C. The Analysis of Time Series, An Introduction. 4th Edition, London: Chapman & Hall.
4. Chang, F.K. (ed.) 1998. Structural Health Monitoring: Current Status and Perspectives, Proceedings of the International Workshop on Structural Health Monitoring, Stanford University, September 18-20, 1997.
5. Chang, F.K. (ed.) 2000. Structural Health Monitoring, Proceedings of the 2nd International Workshop on Structural Health Monitoring, Stanford University, Stanford, CA, September 8-10, 1999.
6. Doebling, S.W., Farrar C.R., Prime M.B. & Shevitz, D.W. 1998. A review of damage identification methods that examine changes in dynamic properties. Shock Vibration Digest 30(2): 91-105. (Pubitemid 128625844)
7. Dyke, S.J., Bernal, D., Beck, J.L. & Ventura, C. 2001. An experimental benchmark problem in structural health monitoring, Proc. of 3rd International Workshop on Structural Health Monitoring, Stanford, CA.
8. Farrar C.R., Duffey T.A., Doebling S.W. & Nix D.A. 2000. Statistical pattern recognition paradigm for vibrationbased structural health monitoring. Proc. 2nd Int. Workshop on Structural Health Monitoring, Stanford, CA, 764-773.
9. Hou, Z., Noori, M. & St. Amand, R. 2000. Wavelet based approach for structural damage detection. ASCE Journal of Engineering Mechanics 124(10): 1059-1066.
10. Johnson, E.A., Lam, H.F., Katafygiotis, L.S., & Beck, J.L. 2000. A benchmark problem for structural health monitoring and damage detection. Proc. 14th Engineering Mechanics Conference, Austin, Texas.
11. Krawinkler, H. & Gupta, A. 1998. Story drift demands for steel moment frame structures in different seismic regions. Proceedings of 6th US National Conference on Earthquake Engineering, Seattle, Washington.
12. Lei, Y., Kiremidjian, A.S., Nair, K.K., Lynch, J.P., Law, K.H., Kenny, T.W., Carryer, E. & Kottapalli, A. 2003. Statistical damage detection using time series analysis on a structural health monitoring benchmark problem. Proc. 9th International Conference on Application of Statistics and Probability in Civil Engineering ICASP9, San Francisco, Rotterdam: Millpress.
13. Ljung L. 1987. System Identification: Theory for the User. Englewood Cliffs, New Jersey: Prentice-Hall.
14. Sohn, H. & Farrar, C.R. 2001. Damage diagnosis using time series analysis of vibration signals. Smart Materials & Structures 10(3): 446-451. (Pubitemid 32637025)
15. Sohn H., Farrar C.R., Hunter N.F. & Worden K. 2001(a). Structural health monitoring using statistical pattern recognition techniques. Journal of Dynamic Systems Measurement and Control - Transactions of the ASME 23(4): 706-711. (Pubitemid 33716002)
16. Sohn, H., Farrar, C.R., Hunter, H.F. & Worden K. 2001(b). Applying the LANL statistical pattern recognition paradigm for structural health monitoring to data from a surface-effect fast patrol boat. Los Alamos National Laboratory Report, LA-13761-MS.
17. Worden, K., Allen, D.W., Sohn, H., Stinematers, D. & Farrar, C.R. 2002. Extreme value statistics for damage detection in mechanical structures. Los Alamos National Laboratory Report, LA-13903-MS.
18. Yang, J.N. & Lei, Y. 2000. System identification of linear structures using Hilbert Transform and empirical mode decomposition. Proc. 18th International Modal Analysis Conference, San Antonio.