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.
Andrzej Katunin was awarded with the commemorative medal on the occasion of the 80th anniversary of the Silesian University of Technology, awarded for achievements and services to the Silesian University of Technology.
During the 16th International Conference on Key Engineering Materials in Barcelona, Andrzej Katunin gave a speech ent. "Analysis of thermomechanical fatigue damage progression in short fiber-reinforced composites using X-ray computed tomography" coauthored with partners from China.
The new member of SIA RG recenly joined to us. Mohammed is working on the self-heating vibrothermography non-destructive testing technique in his PhD thesis, focusing on the question of adaptation of this technique for operational use.
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.