Damage detection in structures through nonlinear excitation and system identification

Muhammad R. Hajj; Giancarlo G. Bordonaro; Ali H. Nayfeh; John C. Duke Jr.

doi:10.1117/12.776455

10 April 2008 Damage detection in structures through nonlinear excitation and system identification

Muhammad R. Hajj, Giancarlo G. Bordonaro, Ali H. Nayfeh, John C. Duke Jr.

Proceedings Volume 6935, Health Monitoring of Structural and Biological Systems 2008; 69350Q (2008) https://doi.org/10.1117/12.776455
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

Variations in parameters representing natural frequency, damping and effective nonlinearities before and after damage initiation in a beam carrying a lumped mass are assessed. The identification of these parameters is performed by exploiting and modeling nonlinear behavior of the beam-mass system and matching an approximate solution of the representative model with quantities obtained from spectral analysis of measured vibrations. The representative model and identified coefficients are validated through comparison of measured and predicted responses. Percentage variations of the identified parameters before and after damage initiation are determined to establish their sensitivities to the state of damage of the beam. The results show that damping and effective nonlinearity parameters are more sensitive to damage initiation than the system's natural frequency. Moreover, the sensitivity of nonlinear parameters to damage is better established using a physically-derived parameter rather than spectral amplitudes of harmonic components.

Citation Download Citation

Muhammad R. Hajj, Giancarlo G. Bordonaro, Ali H. Nayfeh, and John C. Duke Jr. "Damage detection in structures through nonlinear excitation and system identification", Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69350Q (10 April 2008); https://doi.org/10.1117/12.776455

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