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In this paper, we present a dynamical systems approach to material damage identification.
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Scanning electron microscopy (SEM) analysis has been an important means in mineral identification, material damage detection, and aiding in water jet research.
Few damage identification algorithms have focused on the material variation and measurement noise.
In fact, the study of the optical characteristics of this smart material is of particular benefit for fast, cost-effective and in situ damage identification.
Damage identification is estimated from comparison of dynamic responses of healthy and damaged FRP sandwich beams.
Damage identification for different boundary conditions is studied.
This paper presents a coupled method for structural damage identification.
Damage identification results are compared for both methods.
Within which, damage identification will be the most important problem.
Once such levels are present, damage identification techniques can be applied effectively to locate damage.
In the damage identification problem, different damage scenarios and noise levels were addressed.
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