Fractal Dimension-Based Damage Imaging for Composites
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.3233/SAV-130798 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832558528068321280 |
|---|---|
| author | Li Zhou Hu Sun Zhiquan He |
| author_facet | Li Zhou Hu Sun Zhiquan He |
| author_sort | Li Zhou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-56b1f0528c364cfda96be99a82ec3244 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-56b1f0528c364cfda96be99a82ec32442025-02-03T01:32:06ZengWileyShock and Vibration1070-96221875-92032013-01-0120597998810.3233/SAV-130798Fractal Dimension-Based Damage Imaging for CompositesLi Zhou0Hu Sun1Zhiquan He2State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, ChinaIn 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.http://dx.doi.org/10.3233/SAV-130798 |
| spellingShingle | Li Zhou Hu Sun Zhiquan He Fractal Dimension-Based Damage Imaging for Composites Shock and Vibration |
| title | Fractal Dimension-Based Damage Imaging for Composites |
| title_full | Fractal Dimension-Based Damage Imaging for Composites |
| title_fullStr | Fractal Dimension-Based Damage Imaging for Composites |
| title_full_unstemmed | Fractal Dimension-Based Damage Imaging for Composites |
| title_short | Fractal Dimension-Based Damage Imaging for Composites |
| title_sort | fractal dimension based damage imaging for composites |
| url | http://dx.doi.org/10.3233/SAV-130798 |
| work_keys_str_mv | AT lizhou fractaldimensionbaseddamageimagingforcomposites AT husun fractaldimensionbaseddamageimagingforcomposites AT zhiquanhe fractaldimensionbaseddamageimagingforcomposites |