Fractal Dimension-Based Damage Imaging for Composites | Zendy

Zhou Li | Zendy; Hu Sun | Zendy; Zhiquan He | Zendy

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Fractal Dimension-Based Damage Imaging for Composites

Author(s) -

Zhou Li,

Hu Sun,

Zhiquan He

Publication year - 2013

Publication title -

shock and vibration

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.418

H-Index - 45

eISSN - 1875-9203

pISSN - 1070-9622

DOI - 10.1155/2013/164539

Subject(s) - fractal dimension , dimension (graph theory) , composite number , fractal , materials science , box counting , fractal analysis , algorithm , structural engineering , computer science , composite material , mathematics , engineering , mathematical analysis , pure mathematics

In this paper, a damage imaging algorithm based on fractal dimension is developed for quantitative damage detection of composite structures. Box-counting dimension, a typical fractal dimension, is employed to analyze the difference of Lamb wave signals, extract damage feature and define damage index. An enhanced reconstruction algorithm for probabilistic inspection of damage is developed for damage imaging. Experimental investigation in a composite laminate and a stiffened composite panel shows that the developed algorithm could quantitatively predict the location and size of not only single but also multiple damages. The influence of parameters in the developed algorithm on the imaging quality and accuracy is studied, and reference values for parameters are presented.

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