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 implemented his internship in China

14 March 2025

During past month, Andrzej Katunin implemented his internship at the Xi'an Jiaotong Univeristy, where his research activities were focused on thermomechanical response of thermoplastic composites during fatigue loading.

Erasmus+ Bleanded Intensive Programme in SHM launched

6 February 2025

Erasmus+ Bleanded Intensive Programme in SHM in the consortium of leaded by the Riga Technical Univeristy with a participation of the Silesian University of Technology has been launched. More details available here

Jafar Amraei received Rector's stipend for the best PhD students

7 January 2025

Jafar Amraei received stipend of the Rector of Silesian Univeristy of Technology for the best PhD students for his exceptional scientific and science popularization activity.

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.