20 January, 2026
Thursday, February 5th, 2026
13:00 KSA time (GMT +3)
Structural Health Monitoring and Prognostics for Composite Structures
By Dr. Dimitrios Zarouchas
Abstract
This talk presents the research workflow that connects structural health monitoring data to decision-making, with particular emphasis on the design and interpretation of health indicators. It discusses how raw sensing data from monitoring composite structures can be analysed using AI-tools, fused, and transformed into explainable indicators that model the degradation of the structures when subjected to representative loading conditions. The presentation further illustrates how these health indicators can be integrated into stochastic based prognostic models so as to predict the remaining useful life of composite structures, thereby supporting condition-based maintenance, risk assessment, and informed operational decisions.
About the speaker
Dr. Dimitrios Zarouchas is an Associate Professor and the Director of Center of Excellence in AI for structures, Prognostics & Health Management. His research interests focus on damage mechanics and fatigue analysis of composite structures, AI-based structural health monitoring and health management, structural reliability and stochastic finite element analysis. His main goal is the development and deployment of intelligent cyber-physical structural systems with state awareness capabilities for enabling real-time diagnostics and prognostics. Dimitrios has published more than 100 journal publications and has been leading multi-million research and innovation projects, funded by EU and National schemes and industry. He is also part of the ENERCOMP Scientific Advisory Committee.