Reference based stochastic subspace identification in Civil Engineering

Inverse Problems in Engineering

Volumn 8, Issue 1, 2000, Pages 47-74

  Peeters, B ^a   De Roeck, G ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Civil engineering; Concrete bridge; Output only system identification

Indexed keywords

EID: 0038547884     PISSN: 10682767     EISSN: None     Source Type: Journal    
DOI: 10.1080/174159700088027718     Document Type: Article

References (18)

1. Maeck, J. and De Roeck, G. (1999). Detection of damage in civil engineering structures by direct stiffness derivation. Proceedings of the 4th European Conference on Structural Dynamics: Eurodyn '99, Prague, Czech Republic, pp. 485-490, Balkema, A. A., Rotterdam, Netherlands.
2. Felber, A. J. (1993). Development of a hybrid bridge evaluation system. Ph.D. Thesis, University of British Columbia, Vancouver, Canada.
3. Van Overschee, P. and De Moor, B. (1996). Subspace identification for linear systems: theory - implementation - applications. Kluwer Academic Publishers, Dordrecht, Netherlands.
4. Ljung, L. (1987). System identification: theory for the user. Prentice Hall, Englewood Cliffs, New Jersey, USA.
5. Peeters, B., De Roeck, G. and Andersen, P. (1999). Stochastic system identification: uncertainty of the estimated modal parameters. Proceedings of IMAC 17, Kissimmee, FL, USA, pp. 231-237.
6. Peeters, B. and De Roeck, G. (1999). Reference based stochastic subspace identification for output-only modal analysis. Mechanical Systems and Signal Processing, 13(6), 855-878.
7. Ho, B. L. and Kalman, R. E. (1966). Effective construction of linear state-variable models from input/output data. Regelungstechnik, 14, 545-548.
8. Akaike, H. (1974). Stochastic theory of minimal realization. IEEE Transactions on Automatic Control, 19, 667-674.
9. James, G. H., Carne, T. G. and Lauffer, J. P. (1995). The natural excitation technique (NExT) for modal parameter extraction from operating structures. Modal Analysis: The International Journal of Analytical and Experimental Modal Analysis, 10, 260-277.
10. Benveniste, A. and Fuchs, J.-J. (1985). Single sample modal identification of a nonstationary stochastic process. IEEE Transactions on Automatic Control, AC-30, 66-74.
11. Peeters, B. and De Roeck, G. (1997). The performance of time domain system identification methods applied to operational data. Proceedings of DAMAS '97, Structural Damage Assessment Using Advanced Signal Processing Procedures, University of Sheffield, Sheffield, UK, pp. 377-386.
12. The MathWorks. Using MATLAB, Version 5. Natick, MA, USA, 1999. [http:// www-europe.mathworks.com/]
13. Juang, J.-N. (1994). Applied system identification. Prentice Hall, Englewood Cliffs, New Jersey, USA.
14. Balmès, E. (1997). Structural dynamics toolbox user's guide, Version 3. Scientific Software Group, Sèvres, France, [http://www.sdtools.com/]
15. SIMCES: System identification to monitor civil engineering structures. Project programme of the BRITE-EURAM project BE96-3157, August 1996. [http:// www.bwk.kuleuven.ac.be/bwm/SIMCES.htm]
16. Krämer, C., de Smet, C. A. M. and Peeters, B. (1999). Comparison of ambient and forced vibration testing of civil engineering structures. Proceedings of IMAC 17, Kissimmee, USA, pp. 1030-1034.
17. Peeters, B., Van den Branden, B., Laquière, A. and De Roeck, G. (1999). Output-only modal analysis: development of a GUI for Matlab. Proceedings of IMAC 17, The International Modal Analysis Conference, Kissimmee, FL, USA, pp. 1049-1055. [http://www.bwk.kuleuven.ac.be/bwk/mechanics/macec/]
18. Peeters, B., De Roeck, G., Hermans, L., Wauters, T., Krämer, C. and de Smet, C. A. M. (1998). Comparison of system identification methods using operational data of a bridge test. Proceedings of ISMA 23, Noise and Vibration Engineering, Leuven, Belgium, pp. 923-930.