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Classification of cracks in composite structures subjected to low-velocity impact using distribution-based segmentation and wavelet analysis of X-ray tomograms
ID Wronkowicz-Katunin, Angelika (Author), ID Katunin, Andrzej (Author), ID Nagode, Marko (Author), ID Klemenc, Jernej (Author)

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Abstract
The problem of characterizing the structural residual life is one of the most challenging issues of the damage tolerance concept currently applied in modern aviation. Considering the complexity of the internal architecture of composite structures widely applied for aircraft components nowadays, as well as the additional complexity related to the appearance of barely visible impact damage, prediction of the structural residual life is a demanding task. In this paper, the authors proposed a method based on detection of structural damage after low-velocity impact loading and its classification with respect to types of acting stress on constituents of composite structures using the developed processing algorithm based on segmentation of 3D X-ray computed tomograms using the rebmix package, real-oriented dual-tree wavelet transform and supporting image processing procedures. The presented algorithm allowed for accurate distinguishing of defined types of damage from X-ray computed tomograms with strong robustness to noise and measurement artifacts. The processing was performed on experimental data obtained from X-ray computed tomography of a composite structure with barely visible impact damage, which allowed better understanding of fracture mechanisms in such conditions. The gained knowledge will allow for a more accurate simulation of structural damage in composite structures, which will provide higher accuracy in predicting structural residual life.

Language:English
Keywords:barely visible impact damage, damage classification, real oriented dual-tree wavelet transform, X-ray computed tomography
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:20 str.
Numbering:Vol. 21, iss. 24, art. 8342
PID:20.500.12556/RUL-133768 This link opens in a new window
UDC:539.37:620.17
ISSN on article:1424-8220
DOI:10.3390/s21248342 This link opens in a new window
COBISS.SI-ID:89374467 This link opens in a new window
Publication date in RUL:15.12.2021
Views:713
Downloads:170
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:14.12.2021

Secondary language

Language:Slovenian
Keywords:komaj vidne udarne poškodbe, klasifikacija poškodb, valjčna transformacija, rentgenska računalniška tomografija

Projects

Funder:Other - Other funder or multiple funders
Funding programme:Poland, National Science Centre
Project number:2017/25/N/ST8/01009

Funder:Other - Other funder or multiple funders
Funding programme:Silesian University of Technology, Rector’s grant
Project number:10/060/RGJ20/0131

Funder:ARRS - Slovenian Research Agency
Project number:P2-0182
Name:Razvojna vrednotenja

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