Objective
Civil engineering structures such as wind turbines and bridges are critical to economic development, public safety, and environmental sustainability. Structural Health Monitoring (SHM) safeguards these assets by providing essential information on their condition. However, current SHM practices are limited to individual structures, restricting their scalability and their capacity to capture diverse operational and damage-state conditions. To overcome this, Population-Based SHM (PBSHM) has emerged as a promising paradigm that exploits knowledge shared across populations of similar structures, enhancing SHM's accuracy, robustness, and coverage. Yet, PBSHM remains largely unvalidated on complex, real-world applications. This project will advance PBSHM in three steps. First, it will quantify the effects of population size, operational variations, and structural dissimilarity on PBSHM performance, establishing practical thresholds and guidelines for PBSHM applications. Second, it will develop adaptable, interpretable, and data-efficient learning methods tailored for PBSHM by integrating Graph Neural Networks (GNNs), Physics-Enhanced Machine Learning (PEML) and transfer learning. Third, to ensure practical relevance, the developed thresholds, guidelines, and methods will be validated using available real-world datasets, including data from over 30 wind turbines and more than 400 short- and medium-span bridges. The outcomes will deliver accurate, robust, and scalable PBSHM methodologies that enable robust anomaly detection and support proactive maintenance for industry and government partners. Scientifically, the project will extend SHM beyond the conventional individual-based paradigm. Societally and economically, it will promote safer, more resilient, and sustainable infrastructure systems.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering energy and fuels renewable energy wind energy
- social sciences other social sciences development studies development economics
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8092 Zuerich
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.