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universidade lusófona

Short Course 12h | Introduction to Structural Health Monitoring (4th Edition)

January 2025

The main goal of this online short course is to introduce the concept of structural health monitoring (SHM) applied to bridges and special civil structures. We have a new package of upgrades for this new edition! Stay tuned!

Why bridges rather than just special structures? Because bridges are considered the main vulnerable civil structure in the last decades due to the number of structural failures observed around the world. Why SHM rather than SHM of bridges? Because most of the techniques and general procedures described are independent of the structure. Therefore, the techniques are first presented for general applications and then most of the examples are shown in the context of bridges. This manner, students can learn the general concept of SHM and apply it later on to almost any engineering structure.

Target public: The course is tailored towards graduate students and/or practicing engineers working full-time in public and private institutions or consultancy companies.

Sustainable Development Goals: This course contributes to the Sustainable Development Goals (SDGs) 9 and 13, by promoting sustainable and resilient infrastructure through the introduction of new technologies and innovation to guarantee the safety and comfort of people.

ENROLLMENT

You are able to enroll in the course (200€) here: LINK.

[Tips to fill up the online form - Type: Open Courses; Institution: Centro Universitário Lusófona - Lisboa; Course: Introduction to Structural Health Monitoring; Edition: 4th Edition (2024-25)]

SPECIFIC OBJECTIVES

  • Pose the SHM in the context of a statistical pattern recognition paradigm.
  • Conduct damage identification using vibration-based SHM.
  • Understand the applicability of finite element modeling and machine learning for data interpretation and damage identification.
  • Give hands-on experiences to speed up the learning process on SHM, running application examples in real-time.
  • Understand the role of SHM to support climate change adaptation.
  • Understand the goal of SHM, with current limitations, grand challenges, and future trends.

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) | Trending SHM topics (1,5h)
Session #7 – January 30, 2025 (17h, Lisbon Time) | Limitations, grand challenges, and trends (1,5h)

OBSERVATIONS

  • For this edition, we are splitting it into seven sessions and providing an application example with all required algorithms and functions.
  • Course notes will be distributed during the course.
  • Certificate of Attendance will be issue at the end of the short course.
  • If you have any questions, please send us an email: Este endereço de email está protegido contra piratas. Necessita ativar o JavaScript para o visualizar.

INSTRUCTORS

Eloi Figueiredo – PhD in Civil Engineering (2010) and Full Professor at Lusófona University with over 110 publications on structural health monitoring (SHM) through books, book chapters, peer-reviewed journals, and conference proceedings; and about 90 opinion articles to promote science in our society. He is the coordinator of the Civil Research Group and has scientific collaborations with several institutions in Europe, United States, and Brazil.

Ionut Moldovan – PhD in Civil Engineering (2008), has more than 60 scientific publications, including books, book chapters and papers in international journals and conferences. He is the Principal Investigator of the Project CEN-DynaGeo, funded by the Portuguese Science Foundation (FCT), and lead developer of FreeHyTE, the first public, open-source and user-friendly computational platform using hybrid-Trefftz finite elements.