Smart damage prediction: a distance-to-bifurcation-based approach

Amit Shukla; Amanda Frederick

doi:10.1117/12.538541

Abstract

Damage detection and prediction is essential for structural health monitoring. Vibration based methods have been used in health monitoring. In this work damage is proposed to be a nonlinear dynamical phenomenon and can be analyzed by utilizing the bifurcation theory. A methodology for predicting failure is proposed which utilizes the concepts of distance to stability boundary as estimated by bifurcation analysis. The proposed methodology is illustrated by developing bifurcation boundary for a two degree of freedom nonlinear mass-spring-damper system. Two damage models are investigated to illustrate the utility the proposed methodology in capturing and estimating the evolution of damage phenomenon.

Citation Download Citation

Amit Shukla, Amanda Frederick, "Smart damage prediction: a distance-to-bifurcation-based approach", Proc. SPIE 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, (21 July 2004); doi: 10.1117/12.538541; https://doi.org/10.1117/12.538541

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