5 ECTS | July 15-19, 2024, in person (30h) | 15h remotely | MSc and PhD Students
We are happy to announce that the 2nd edition of the summer course on SHM has started with about 30 students and 11 instructors from 14 institutions.
The main goal of this summer course is to introduce the concept of structural health monitoring (SHM) applied to bridges and special civil structures to MSc and PhD students from several European institutions.
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 (or modeling) the structural behavior from the experience (past data), following the same principle of the human brain. 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 theory and application examples.
Keyword
Structural Health Monitoring, Bridges, Machine Learning, Finite Element Modeling, Digital Twins, Climate Change
Most relevant upgrade
For this new edition, the final project of each group will be based on the permanent monitoring system developed and installed in the pedestrian bridge at the University of Twente (UT) campus. The pedestrian bridge at the UT campus is equipped with a sophisticated network of sensors to measure its performance and, hence, resilience to its daily excitations.
Funding source
Erasmus+ Program through Blended Intensive Program (BIP), Student Mobility of Education (SME), and Staff Mobility for Teaching (SMT). The BIP covers expenses related to the course organization. SMT and SME cover expenses related to traveling and housing of students in Lisbon.
Which are the host and partners institutions?
Lusófona University is host and responsible for the organization and funding of the course through BIP. Each partner institution is responsible to find students and staff members through SME and SMT (this funding must be coordinated with the international office of each partner institution).
Who can participate?
MSc and PhD students from states included in the Erasmus+ Program and interested to speed up the learning process on SHM posed in the context of a statistical pattern recognition paradigm.
Course material
PowerPoints, books, and research articles. All course material is available from a website in an e-learning platform (Moodle). All students should bring their own laptops.
Student assessment
The evaluation assessment is composed of two components: individual homework (20%) and group project (80%). The homework intends to cover the content lectured during the online classes. The group project will be conducted during the in-person week. The groups are composed of five or six students; the outcome of each group is to be documented in a report and defended in oral examination (in public and in the form of seminar). The grades will be awarded according to the Education and Examination Regulations of the university (0-20).
General Schedule
| ACTIVITY | TEACHING MODE | DESCRIPTION | CONTACT HOURS | DATE AND TIME (WEST) |
|---|---|---|---|---|
| 1 | Remote | Welcome session | 1 | June 4, 2024 (8:00-9:00) |
| 2 | Remote | Introduction to structural health monitoring | 9 | June 11, 13, 18, 20, 25, 27, 2024 (17:00-18:30) |
| 3 | Remote | Project’s presentation | 1 | July 2, 2024 (17:00-18:00) |
| 4 | In-person | Lecturing and laboratory activities | 30 | July 15-19, 2024 |
| 5 | Remote | Student’s presentation of final project | 3 | September 11 and 12, 2024 (10:00-11:30) |
| 6 | Remote | Closing session | 1 | September 13, 2024 (10:00-11:30) |
In-Person Schedule (July 15-19, 2024)
Instructors
- Eloi Figueiredo, Lusófona University, Portugal
- Ionut Moldovan, Lusófona University, Portugal
- Marek Salamak, Silesian University of Technology, Poland
- Marcin Jasiński, Silesian University of Technology, Poland
- Maria Pina Limongelli, Politecnico di Milano, Italy
- Mihai Nedelcu, Technical University of Cluj-Napoca, Romania
- Pier Francesco Giordano, Politecnico di Milano, Italy
- Roland Kromanis, University of Twente, Netherlands
Invited Instructors
- João Canto, Lusófona University, Portugal
- Nuno Peres, Lusófona University, Portugal
- Nuno Santos, Lusófona University, Portugal
| TEACHING MODE | DESCRIPTION | INSTRUCTOR | CONTACT HOURS |
|---|---|---|---|
| Remote | Introduction to structural health monitoring | Eloi Figueiredo and Ionut Moldovan | 15 |
| In-person | Value of Information | Maria Pina Limongelli and Pier Francesco Giordano | 4 |
| In-person | Digital Twins | Marek Salamak and Marcin Jasiński | 4 |
| In-person | Model updating | Mihai Nedelcu | 4 |
| In-person | Computer vision-based measurement | Roland Kromanis | 4 |
| In-person | Laboratory | – | 3 |
| In-person | Supervision | – | 11 |
Seminars
Two seminars given by representatives from Infraestruturas de Portugal:
- “Infrastructure Management Inspection and Structural Monitoring of Bridges”, Sérgio Pereira
- The Applicability of Satellite Data in the Context Infrastructure Monitoring, João Amado
Reception dinner
Bridge tour
Testimony from the 1st edition in 2023
For more information: Summer Course on Structural Health Monitoring 2023
Notes:
- A Transcript of Records and a Certificate of Attendance will be issue at the end of the course.
- For more information please contact Eloi Figueiredo:
Este endereço de email está protegido contra piratas. Necessita ativar o JavaScript para o visualizar. . - This is an international course that involves a lot of people, so there may be changes at any time.
- Last update: July 23, 2024.