Identification of time-variant modal parameters using time-varying autoregressive with exogenous input and low-order polynomial function

Computer-Aided Civil and Infrastructure Engineering

Volumn 24, Issue 7, 2009, Pages 470-491

  Huang, C S ^a   Hung, S L ^a   Su, W C ^a   Wu, C L ^b  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL CENTER FOR RESEARCH ON EARTHQUAKE ENGINEERING   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

A-FRAMES; BASE EXCITATION; BASIS FUNCTIONS; COEFFICIENT FUNCTIONS; CONSTANT COEFFICIENTS; DISPLACEMENT RESPONSE; EQUATION OF MOTION; EQUIVALENT RELATION; FORGETTING FACTORS; LOW ORDER; LOW-ORDER POLYNOMIALS; MEASURED DATA; MODAL PARAMETERS; MODEL COEFFICIENT; MOVING LEAST SQUARES; NUMERICAL STUDIES; PHYSICAL PHENOMENA; POLYNOMIAL BASIS FUNCTIONS; RECURSIVE TECHNIQUES; SHAKING TABLE TESTS; STRUCTURAL SYSTEMS; TIME VARIANT; TIME VARYING; TIME-DEPENDENT COEFFICIENTS; TIME-VARYING AUTOREGRESSIVE;

COMPOSITE BEAMS AND GIRDERS; EQUATIONS OF MOTION; MODAL ANALYSIS; POLYNOMIALS; RECURSIVE FUNCTIONS; TIME VARYING SYSTEMS;

PARAMETER ESTIMATION;

INFRASTRUCTURE; LEAST SQUARES METHOD; NUMERICAL MODEL; REGRESSION ANALYSIS; SHAKING TABLE TEST; STRUCTURAL ANALYSIS;

EID: 69149111201     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2009.00605.x     Document Type: Article

References (47)

1. Adeli, H. & Jiang, X. (2006), Dynamic fuzzy wavelet neural network model for structural system identification, Journal of Structural Engineering, ASCE, 132(1), 102-11.
2. Adeli, H. & Kim, H. (2004), Wavelet-hybrid feedback least mean square algorithm for robust control of structures, Journal of Structural Engineering, 130(1), 128-37.
3. Adeli, H. & Saleh, A. (1997), Optimal control of adaptive/smart bridge structures, Journal of Structural Engineering, 123(2), 218-26.
4. Adeli, H. & Saleh, A. (1998), Integrated structural/control optimization of large adaptive/smart structures, International Journal of Solids and Structures, 35(28-29), 3815-30.
5. Adeli, H. & Samant, A. (2000), An adaptive conjugate gradient neural network - wavelet model for traffic incident detection, Computer-Aided Civil and Infrastructure Engineering, 13(4), 251-60.
6. Akaike, H. (1973), Information theory and an extension of the maximum likelihood principle. 2nd International Symposium on Information Theory, Akademia Kiado, Budapest, 267-81.
7. Belge, M. & Miller, E. L. (2000), A sliding window RLS-like adaptive algorithm for filtering alpha-stable noise, IEEE Signal Process Letter, 7(4), 86-89.
8. Carden, E. P. & Brownjohn, J. M. W. (2008), Fuzzy clustering of stability diagrams for vibration-based structural health monitoring, Computer-Aided Civil and Infrastructure Engineering, 23(5), 360-72.
9. Choi, B. Y. & Bien, Z. (1989), Sliding-windowed weighted recursive least-squares method for parameter estimation, Electron Letter, 25(20), 1381-82.
10. Clinton, J. F., Bradford, S. C., Heaton, T. H. & Favela, J. (2006), The observed wander of the natural frequencies in a structure, Bulletin of the Seismological Society of America, 96(1), 237-57.
11. Fortescue, T. R., Kershenbaum, L. S. & Ydstie, B. E. (1981), Implementation of self-tuning regulators with variable forgetting factors, Automatica, 17(6), 831-35.
12. Ghosh-Dastidar, S. & Adeli, H. (2003), Wavelet-clustering-neural network model for freeway incident detection, Computer-Aided Civil and Infrastructure Engineering, 18(5), 325-38.
13. He, X., Moaveni, B., Conte, J. P., Elgamal, A. & Masri, S. F. (2008), Modal identification study of Vincent Thomas bridge using simulated wind-induced ambient vibration data, Computer-Aided Civil and Infrastructure Engineering, 23(5), 373-88.
14. Huang, C. S. (2001), Structural identification from ambient vibration measurement using the multivariate AR model, Journal of Sound and Vibration, 241(3), 337-59.
15. Jiang, J. & Cook, R. (1992), Fast parameter tracking RLS algorithm with high noise immunity, Electron Letter, 28(22), 2042-45.
16. Jiang, X. & Adeli, H. (2008a), Dynamic fuzzy wavelet neuroemulator for nonlinear control of irregular highrise building structures, International Journal for Numerical Methods in Engineering, 74(7), 1045-66.
17. Jiang, X. & Adeli, H. (2008b), Neuro-genetic algorithm for nonlinear active control of highrise buildings, International Journal for Numerical Methods in Engineering, 75(7), 770-86.
18. Jiang, X., Mahadevan, S. & Adeli, H. (2007), Bayesian wavelet packet denoising for structural system identification, Structural Control and Health Monitoring, 14, 333-56.
19. Karim, A. & Adeli, H. (2002), Incident detection algorithm using wavelet energy representation of traffic patterns, Journal of Transportation Engineering, 128(3), 232-42.
20. Kim, H. & Adeli, H. (2004), Hybrid feedback-least mean square algorithm for structural control, Journal of Structural Engineering, 130(1), 120-27.
21. Kim, H. & Adeli, H. (2005a), Hybrid control of smart structures using a novel wavelet-based algorithm, Computer-Aided Civil and Infrastructure Engineering, 20(1), 7-22.
22. Kim, H. & Adeli, H. (2005b), Wavelet hybrid feedback-lms algorithm for robust control of cable-stayed bridges, Journal of Bridge Engineering, 10(2), 116-23.
23. Kim, H. & Adeli, H. (2005c), Hybrid control of irregular steel highrise building structures under seismic excitations, International Journal for Numerical Methods in Engineering, 63(12), 1757-74.
24. Kim, H. & Adeli, H. (2005d), Wind-induced motion control of 76-story benchmark building using the hybrid damper-tuned liquid column damper system, Journal of Structural Engineering, 131(12), 1794-1802.
25. Lancaster, P. & Šalkauskas, K. (1990), Curve and Surface Fitting - An Introduction, Academic Press, NY.
26. Leung, S. H. & So, C. F. (2005), Gradient-based variable forgetting factor RLS algorithm in time-varying environments, IEEE Transactions on Signal Processing, 53(8), 3141-50.
27. Li, S. & Wu, Z. (2008), A non-baseline method for damage locating and quantifying in beam-like structure based on dynamic distributed strain measurements, Computer-Aided Civil and Infrastructure Engineering, 23(5), 404-13.
28. Liu, G. R. (2003), Mesh Free Methods: Moving Beyond the Finite Element Method, CRC Press, NY.
29. Ljung, L. (1987), System Identification, Theory for the User, Prentice-Hall, Englewood Cliffs, NJ.
30. Loh, C. H., Lin, C. Y. & Huang, C. C. (2000), Time domain identification of frames under earthquake loadings, Journal of Engineering Mechanics, ASCE, 126(7), 693-703.
31. Marmarelis, V. Z. (1987), Advanced Methods of Physiological System Modeling, University of Southern California, Los Angeles.
32. Moaveni, B., He, X., Conte, J. P. & de Callafon, R. A. (2008), Damage identification of a composite beam based on changes of modal parameters, Computer-Aided Civil and Infrastructure Engineering, 23(5), 339-59.
33. Ni, Y. Q., Zhou, H. F., Chan, K. C., & Ko, J. M. (2008), Modal flexibility analysis of cable-stayed Ting Kau bridge for damage identification, Computer-Aided Civil and Infrastructure Engineering, 23(3), 223-36.
34. Niedźwiecki, M. (1988), Functional series modelling approach to identification of nonstationary stochastic systems, IEEE Transactions Automatic Control, 33, 955-61.
35. Niedźwiecki, M. (2000), Identification of Time-Varying Processes, John Wiley & Sons, NY.
36. Park, D. J. & Jun, B. E. (1992), Self-perturbing recursive least squares algorithm with fast tracking capability, Electron Letter, 28 (6), 558-59.
37. Salawu, O. S. (1997), Detection of structural damage through changes in frequency: A review, Engineering Structures, 19, 718-23.
38. Saleh, A. & Adeli, H. (1994), Parallel algorithms for integrated structural and control optimization, Journal of Aerospace Engineering, 7 (3), 297-314.
39. Saleh, A. & Adeli, H. (1997), Robust parallel algorithms for solution of the Riccati equation, Journal of Aerospace Engineering, 10 (3), 126-33.
40. Saleh, A. & Adeli, H. (1998), Optimal control of adaptive building structures under blast loading, Mechatronics, 8 (8), 821-44.
41. Toplis, B. & Pasupathy, S. (1988), Tracking improvements in fast RLS algorithm using a variable forgetting factor, IEEE Trans Acoust Speech Signal Process, ASSP, 36 (2), 206-27.
42. Tsatsanis, M. K. & Giannakis, G. B. (1993), Time-varying system identification and model validation using wavelets, IEEE Transactions Signal Processing, 41, 3512-23.
43. Wang, Z. H. & Fang, T. (1986), A time-domain method for identifying modal parameters, Journal of Applied Mechanics, 53, 159-65.
44. Watson, G. A. (1980), Approximation Theory and Numerical Methods, John Wiley & Sons, NY.
45. Wei, H.-L. & Billings, S. A. (2002), Identification of time-varying systems using multiresolution wavelet models, International Journal of Systems Science, 33(15), 1217-28.
46. Wu, C. L., Yang, Y. S. & Loh, C. H. (2006), Dynamic gravity load collapse of non-ductile RC frames I: Experimental approach, Proceedings of the 8th U.S. National Conference on Earthquake Engineering, paper no. 750.
47. Zou, R., Wang, H. & Chon, K. H. (2003), A robust time-varying identification algorithm using basis functions, Annals of Biomedical Engineering, 31, 840-53.