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 gave a keynote speech ent. "Evaluation of modal rotation fields using shearography for structural damage identification" at the 7th International Working Group on Rotational Seismology Meeting held at the Opole University of Technology.
Jafar Amraei defended his doctoral thesis ent. "Thermomechanical fatigue life assessment of polymer-matrix composites under temperature control and different loading regimes" with the summa cum laude recommendation.
Andrzej Katunin, Tomasz Rogala, and Jafar Amraei presented current research findings on impact damage identification with NDT techniques at the 2nd Conference "Advanced Composites under High Strain Rates Loading: a Route to Certification-by-Analysis" under the HISTRATE – COST Action CA21155.
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.