We investigate fatigue of materials, especially thermal effects, and analyze fracture mechanims under of influence of various factors, such as static, fatigue, impact loading, enviromental influence.
We use various NDT techniques in our research, including infrared thermography, acoustic emission, ultrasonic testing, shearography, X-ray computed tomography.
Our group is specializing in modal analysis and related algorithmic topics, like sensor integration, optimal sensor placement, and damage identification.
Unique signal and image processing algorithms developed by the group allow enhancing non-destructive testing and structural health monitoring results.
During the 21st edition of the Scientists' Night of the Silesian Univeristy of Technology Andrzej Katunin gave a lecture on vibrations and damage detection and then, together with Tomasz Rogala, Dominik Wachla, Mohammed Abdulkedir Alfeki, and Bolesław Bąk performed a workshop on identification of invisible damage in composites.
The group from the Technical University of Košice visited us within the implemented bilateral Polish-Slovak project related to high-speed 3D DIC and its application for structural damage identification for common experiments and data processing as well as planning future activities within the project.
Andrzej Katunin (as a lecturer) and Mohammed Abdulkedir Alfeki (as a student) participated in the SHM Summer School organized at the University of Bergamo, discussing problems of SHM in mechanical and civil structures.
The group is focusing on the wide range of structural integrity problems. We believe that only proper integration of theoretical, numerical, and experimental results provides valuable input for the scientific community and society.
In our research we are focusing on numerous specific problems, like fatigue of composite materials under the presence of the self-heating effect, analysis of low-velocity impact damage, evaluation of structural residual life, enhancement of existing non-destructive testing techniques and development the new ones, data fusion and integration of non-destructive testing techniques, damage identification and monitoring of structures, development of signal and image processing algorithms and machine learning approaches for early damage detection and identification. This allows us to approach the problems of structural integrity in a comprehensive way.