Project description
Digital twins for pathology-based structural health monitoring
Structural health monitoring (SHM) of cultural heritage involves regular assessment of a structure’s integrity to detect changes and warn of potential damage. However, conventional approaches can present uncertainties in decision-making because they are usually based on a single model of the heritage asset. With the support of the Marie Skłodowska-Curie Actions programme, the Path-B SHM project proposes a novel pathology-based SHM approach using multiclass digital twins. Systematic diagnosis is carried out onsite to identify potential structural pathologies. High-fidelity scenario-based numerical models will then be formulated for each identified pathology. In turn, AI-based tools will substitute numerical models with effective meta-models to create a multiclass digital twin that can predict the likelihood of a pathology occurring when continuous monitoring data is provided.
Objective
Structural health monitoring (SHM) methods provide a comprehensive approach to the condition-based maintenance of Cultural Heritage (CH) constructions, aiming to extend their lifespan through optimized rehabilitation interventions. While physics-based damage identification is the most effective approach for comprehensive damage assessment, it has well-documented limitations. Specifically, classical methods often rely on a single model of the CH asset, which introduces significant uncertainties in decision-making. To address this challenge, this Action introduces a pioneering SHM paradigm referred to as pathology-based SHM (Path-B SHM) using multi-class digital twins (DTs)—a population of competing, efficient meta-models. The methodology begins with a systematic diagnosis, including site visits supplemented by non-destructive testing (NDT), to identify the most probable structural pathologies the asset may experience throughout its lifespan. High-fidelity scenario-based numerical models are then developed for each identified pathology. To enable real-time damage identification and simultaneous inverse calibration of all scenario-based models, these numerical models are replaced by computationally efficient meta-models constructed using artificial intelligence (AI) tools which form a multi-class DT. The resulting DT is capable of inferring, in quasi real-time, the probability of occurrence of the identified potential damage pathologies and their severity when supplied with continuous monitoring data. If an anomaly is detected, a Bayesian model selection approach identifies the damage mechanism, selecting the meta-model that explains the experimental data with the highest likelihood. This approach, therefore, enables rapid, robust, and comprehensive damage identification. Path-B SHM has the potential to revolutionize and advance the frontiers of SHM, offering unprecedented opportunities for data-informed decision-making in the preservation of CH constructions.
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 civil engineering structural engineering structural health monitoring
- medical and health sciences clinical medicine physiotherapy
- medical and health sciences basic medicine pathology
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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)
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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)
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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
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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
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(opens in new window) HORIZON-MSCA-2024-PF-01
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18071 Granada
Spain
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