Affiliations: State Key Laboratory of Mechanics and Control of
Mechanical Structures, Nanjing University of Aeronautics and Astronautics,
Nanjing, Jiangsu, China
Note: [] Corresponding author: Li Zhou, State Key Laboratory of Mechanics
and Control of Mechanical Structures, Nanjing University of Aeronautics and
Astronautics, Nanjing 210016, Jiangsu, China. Tel.: +86 25 8489 1722; Fax: +86
25 8489 1422; E-mail: lzhou@nuaa.edu.cn
Abstract: 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.
