Methodology of diagnostics of composite elements using wavelet transform

• Dates: 2012-2015
• Place: Silesian University of Technology
• PI: Andrzej Katunin
• Team: Wojciech Moczulski, Marek Sznura
• Cooperating staff: Piotr Przystałka, Fryderyk Holewik, Paweł Kostka, Marek Dańczak, Krzysztof Dragan, Michał Dziendzikowski, Angelika Wronkowicz, Mateusz Tyczka
• Funding source: National Science Centre, Poland

The scientific problem solved by implementation of the project is the development of a universal methodology for assessing the condition of composite elements and detecting, locating and identifying damage in these elements using a two-dimensional wavelet transform. The aim of the research undertaken was to analyze methods using two-dimensional wavelet transform in terms of effectiveness, develop rules for selecting wavelet functions for various types of damage, develop new wavelet functions aimed at increasing the effectiveness of diagnostic methods, develop methods for eliminating unfavorable derivative effects when using wavelet transform and develop software allowing to conduct analyzes using the above-mentioned universal methodology. As the result of the project implementation, numerous algorithms using various 2D and 3D wavelet transforms were developed for identification of a structural damage in composite elements.

Representative publications:

Katunin A., Dragan K., Dziendzikowski M., Damage identification in aircraft composite structures: A case study using various non-destructive testing techniques, Composite Structures 127, 2015, 1-9.

Katunin A., Dańczak M., Kostka P., Automated identification and classification of internal defects in composite structures using computed tomography and 3D wavelet analysis, Archives of Civil and Mechanical Engineering 15(2), 2015, 436-448.

Katunin A., Vibration-based spatial damage identification in honeycomb-core sandwich composite structures using wavelet analysis, Composite Structures 118, 2014, 385-391.

Katunin A., Przystałka P., Damage assessment in composite plates using fractional wavelet transform of modal shapes with optimized selection of spatial wavelets, Engineering Applications of Artificial Intelligence 30, 2014, 73-85.

Katunin A., Holewik F., Crack identification in composite elements with non-linear geometry using spatial wavelet transform, Archives of Civil and Mechanical Engineering 13(3), 2013, 287-296.