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. "Non-destructive evaluation and predictive maintenance: Rethinking structural lifetime management" during the 6th International Conference “Innovative Materials, Structures and Technologies” held at the Riga Technical University.
Andrzej Katunin, Tomasz Rogala and Jafar Amraei gave speeches on thermomechanical fatigue and self-heating based vibrothermography during the 6th International Conference on Structural Integrity held on Madeira.
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.
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.