A 12-hour blended short course designed to pose the structural health monitoring (SHM) in the context of a statistical pattern recognition paradigm to support the damage identification process and risk-informed integrity management. The remote part introduces the concept of SHM and accelerates the learning process, while the in-person part focuses on bridging the gap between research and practical
Start Date: 23-06-2026
End Date: 06-07-2026
Format: Mixed
After successful completion of this course, students will be capable to:
- Describe the historical and current real-world applications of damage identification in the civil engineering field, especially in bridges;
- Conduct damage identification using vibration-based SHM;
- Analyze and understand the condition of data sets of monitoring results;
- Employ machine learning algorithms for system and damage identification;
- Develop an integrated application of machine learning and probabilistic digital twin in the context of SHM;
- Evaluating critically the results of system and damage identification for quality control;
- Understand and apply commercial software for system and damage identification analysis.
E-mail: eloi.figueiredo@ulusofona.pt
Centre de Congrès Pierre Baudis | Toulouse, France