Dr. Theodoros Loutas is an Associate Professor at the Department of Mechanical & Aeronautical Engineering of the University of Patras since March 2021. He obtained his doctorate in 2007 from the same department as well as his diploma in 2002 with excellent performance (9.16 / 10.00). His research interests are in the areas of Non-Destructive Testing of Materials and Structures, health/condition monitoring of structures and machines with techniques such as vibration, acoustic emission, static and dynamic strain sensing, acousto-ultrasound etc. In recent years, he has developed significant research work on the fracture behavior of composite materials and bonded joints as well as in the diagnostics / prognostics of aeronautical structures developing and using probabilistic Machine Learning algorithms. He has authored 55 papers in international peer-reviewed journals, 4 chapters in books and more than 60 papers in international conferences. His research has attracted significant funding from European (Horizon 2020, Clean Sky II) and National programs (ELIDEK etc.).

Recent Publications

1. Adamos, P. Tsokanas, T. Loutas, An experimental study of the interfacial fracture behavior of Titanium/CFRP adhesive joints under mode I and mode II fatigue, International Journal of Fatigue (136) 2020
2. Panayiotis Tsokanas, Theodoros Loutas, Georgios Kotsinis, Vassilis Kostopoulos, Wouter van den Brink, Federico Martin de la Escalera, On the fracture toughness of metal-composite adhesive joints with bending-extension coupling and residual thermal stresses effect, Composites Part B: Engineering (185), 2020
3. Tsokanas and T. Loutas, Hygrothermal effect on the strain energy release rates and mode mixity of asymmetric delaminations in generally layered beams, Engineering Fracture Mechanics 214, 390-409, 2019
4. Loutas, T., Eleftheroglou, N., Zarouchas, D., A data-driven probabilistic framework towards the in-situ prognostics of fatigue life of composites based on acoustic emission data, Composite Structures, 161, pp. 522-529, 2017
5. Loutas, T.H., Roulias, D., Georgoulas, G., Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression, IEEE Transactions on Reliability, 62 (4) , art. no. 6645455 , pp. 821-832, 2013

Google Scholar: Loutas Theodoros

Research Fields

Diagnostics / Prognostics of structures and machines with Artificial Intelligence algorithms, Fracture mechanics of composite materials and bobded joints, Experimental characterization of composite materials