Dr Christos Mourlas is currently a lecturer of Structural Engineering at the University of Dundee. He holds a Diploma in Civil Engineering (5-year degree equivalent to M.Eng, 2009-2014), a M.Sc. in the Analysis and Design of Structures (2014-2016) and a Ph.D. in computational mechanics (2015-2019) at the National Technical University of Athens (NTUA), school of Civil Engineering. His PhD thesis was entitled as follows:

“An accurate and computationally efficient three-dimensional nonlinear model for the analysis of large-scale RC structures subjected to cyclic static and dynamic loading conditions”

His PhD research work focused on the development of an innovative modelling strategy to describe the mechanical response of RC structures subjected to static cyclic and dynamic loading conditions.  During this period, he managed to publish 5 papers in journals and 5 papers in conferences. After his PhD studies, he continued to work at NTUA as a postdoctoral researcher. His aim was to extend his PhD research and improve the behavior of the proposed numerical model and include soil-structure interaction in the dynamic analysis of RC buildings. 

After that, he continued his research by working in ENTPE (Ecole National de Travaux Public de l’Etat) in Lyon as a postdoctoral researcher (2020-2022). He was studying the multiscale approach of clay rocks and the effects of different microscopic hydromechanical characteristics and deformations to the underground excavations of large-scale tunnels that are used for storage of nuclear waste.

Finally, he worked as a post-doc researcher in Czech Technical University (2022-2024). His project was focused on the development and verification of a system for the long-term monitoring of bridge structures with emphasis on reinforced concrete and prestressed concrete bridges. The use of an artificial intelligence system combined with real-time data from sensors (fibre optic sensors) integrated into the superstructure and a numerical model of the bridge (digital twin) should enable the development of a reliable predictive framework, capable of indicating possible damages.

• Constitutive modelling approaches
• Seismic analysis of structures
• SSI effects
• Retrofit, repair and strengthening methods
• Mutiscale approaches
• Concrete and granural materials
• FEM framework
• Smeared crack approaches
• Fracture mechanics
• Damage Identification methods

• CE22003 Structures
• CE52031 Finite Element Modelling