The main goal of this short course is to introduce the concept of structural health monitoring (SHM) and to show how this may be applied in the context of bridges and other infrastructure. We have a new package of upgrades for this new edition, which includes the integration of a new instructor: Michael Havbro Faber! Stay tuned!
Why are we focusing on bridges? Because bridges are considered the most vulnerable civil structure due to the number of structural failures observed around the world in the last decades. Why are we addressing SHM in general rather than SHM for bridges? Because most of the techniques and general procedures that we will describe are independent of the type of structure. Therefore, the techniques of SHM are first presented for general applications and then most of the examples are shown in the context of bridges. In this manner, students can learn the general concepts of SHM and apply them later 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.
Accreditation: This short course has been accredited by Ordem dos Engenheiros - the Portuguese regulatory and licensing body for the engineering profession in Portugal.
Sustainable Development Goals: This course contributes to the Sustainable Development Goals (SDGs) 7, 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, through optimization of design and integrity management to reduce embedded CO2 and thereby countering climate change, and finally by along the same lines facilitating the development and operation of sustainable energy infrastructure, like wide turbines and dams.
Keywords: SHM, bridges, structural mechanical modeling, pattern recognition, machine learning, system identification, damage identification, uncertainty, probability, probabilistic digital twins, risk, resilience, sustainability.
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.
- Understand the differences between quasi-static and dynamics monitoring.
- Overview of sensors and DAQ hardware for designing an optimum instrumentation scheme for SHM.
- Understand the applicability of finite element modeling and machine learning (unsupervised and supervised learning) for data enhancement and interpretation as well as for damage identification.
- Pose the concept of probabilistic digital twins in the context of SHM.
- Understand the role of SHM to support climate change adaptation.
- Understand the role of SHM to support risk-informed integrity management.
- Understand the goal of SHM with current limitations, grand challenges, and future trends.
COURSE SYLLABUS
OBSERVATIONS
- For this edition, we are splitting it into eight sessions and providing an application example with all required algorithms and functions.
- Course notes will be distributed during the course.
- A Certificate of Attendance will be issued at the end of the short course.
- If you have any questions, please send us an email:
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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.
Michael Havbor Faber – Professor at Lusófona University. He is discipline Director for Risk, Resilience and Sustainability at NIRAS A/S in Denmark, and he has a position as Chair Professor at Harbin Institute of Technology in China. His research interests are directed on probabilistic modeling and analysis of systems with applications to governance and management of risks, resilience and sustainability in the built environment. Initiating president of the Joint Committee on the GLOBE Consensus, past president of the Joint Committee on Structural Safety, member of the WEF Global Expert Network on Risk and Resilience, member of the Danish Research Council and the Danish Academy of Technical Sciences. Michael was awarded the Allin C. Cornell Award in 2019.