Fatigue & fracture

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.

Non-destructive testing

We use various NDT techniques in our research, including infrared thermography, acoustic emission, ultrasonic testing, shearography, X-ray computed tomography.

Structural health monitoring

Our group is specializing in modal analysis and related algorithmic topics, like sensor integration, optimal sensor placement, and damage identification.

Signal & image processing

Unique signal and image processing algorithms developed by the group allow enhancing non-destructive testing and structural health monitoring results.

Latest News

Andrzej Katunin was awarded by the Polish Academy of Sciences

12 December 2025

Andrzej Katunin was awarded by the Division IV of Technical Sciences of the Polish Academy of Sciences for his studies on self-heating effect occurring during fatigue of polymer-matrix composite materials.

Andrzej Katunin implemented his internship in China

15 November 2025

During the last weeks, Andrzej Katunin implemented his internship at the Xi'an Jiaotong Univeristy, where he was focused on evaluation of fatigue damage in composites using X-ray computed tomography.

SIA RG presented at the Scientists' Night of the Silesian Univeristy of Technology

13 October 2025

During the 20th edition of the Scientists' Night of the Silesian Univeristy of Technology Andrzej Katunin gave a lecture on optical illusions and then, together with Dominik Wachla, performed a workshop on creating optical illusions.

News archive

Our mission and vision

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.