Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31473
Structural Damage Detection Using Sensors Optimally Located

Authors: Carlos Alberto Riveros, Edwin Fabián García, Javier Enrique Rivero

Abstract:

The measured data obtained from sensors in continuous monitoring of civil structures are mainly used for modal identification and damage detection. Therefore, when modal identification analysis is carried out the quality in the identification of the modes will highly influence the damage detection results. It is also widely recognized that the usefulness of the measured data used for modal identification and damage detection is significantly influenced by the number and locations of sensors. The objective of this study is the numerical implementation of two widely known optimum sensor placement methods in beam-like structures.

Keywords: Optimum sensor placement, structural damage detection, modal identification, beam-like structures.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096537

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1986

References:


[1] D.C. Kammer. "Effect of model error on sensor placement for on-orbit modal identification of large space structures”. Journal of Guidance, Control and Dynamics, 15(2):334-341, March-April 1992.
[2] Z.Y. Shi, S.S. Law, and L.M. Zhang. "Optimum sensor placement for structural damage detection”, Journal of Engineering Mechanics, Volume 126, Issue 11, pp. 1173-1179, 2000.
[3] F.M. Hemez and C. Farhat. "An energy based optimum sensor placement criterion and its application to structure damage detection” Proc. 12th Conf. on Int. Modal Analysis (Honolulu, HI: Society of Experimental Mechanics), pp. 1568–75, 1994.
[4] C.R. Farrar, and G.H. James III. "System identification from ambient vibration measurement on a Bridge”, Journal of Sound and Vibration, Vol.205, No1, pp. 1-18, 1997.
[5] J.N. Juang, and R.S. Pappa. "Effects of Noise on Modal Parameter Identification”, Journal of Guidance, pp. 295-303, 1986
[6] H. Sohn and K.H. Law. "Bayesian probabilistic approach for structure damage detection”. Earthquake Engineering and Structural Dynamics, 26:1259-1281, 1997.
[7] J.P. Lynch, H. Sohn, and K.H. Law. The development and application of a damage detection toolbox for matlab, The 5th US National Congress on Computational Mechanics, University of Colorado at Boulder, CO, USA, August 4-6, 1999.