Formação Livre Introduction to Structural Health Monitoring

This course introduces the concept of structural health monitoring (SHM) applied to bridges and special structures to graduated students. The SHM is posed in the context of a statistical pattern recognition paradigm, rooted in the artificial intelligence field, where machine learning algorithms are essential to perform damage identification, by learning the structural behavior from past data. In order to balance the general concept and the applicability of SHM, this course has been designed to allow students to gain a basic knowledge of SHM with hands-on experiences to demonstrate how SHM can be used for assessing the condition of structural systems, along with the lectures to give some insight into the and application examples.

This course will be lectured in English to make it open for international students (or professionals) from all around the world and to facilitate the student exchange and staff mobility.

COURSE SYLLABUS Session #1 January 14, 2025 (17h, Lisbon Time) | Introduction to SHM (1,5h) Session #2 January 15, 2025 (17h, Lisbon Time) | Statistical pattern recognition paradigm (1,5h) Session #3 January 16, 2025 (17h, Lisbon Time) | Data-based modeling (1,5h) Session #4 January 21, 2025 (17h, Lisbon Time) | Hybird-based modeling (1,5h) Session #5 January 23, 2025 (17h, Lisbon Time) | SHM in Action: hands-on experience (3h) Session #6 January 28, 2025 (17h, Lisbon Time) | Probabilistic digital twins in SHM (1,5h) Session #7 January 30, 2025 (17h, Lisbon Time) | Trending SHM topics. Limitations, grand challenges, and trends (1,5h)