Objective
The Europe Union faces an enormous task in maintaining its buried infrastructure (BI), since BI constantly deteriorates due to ageing, harsh environmental conditions, and nearby construction disturbances. It is imperative that innovative maintenance techniques are implemented to detect BI deterioration and schedule repair works based on BI resilience (i.e. the ability of a structure to be recovered under repair measures after it has failed) in the most cost effective manner. Although digital twin models have been employed for the maintenance of BI and demonstrated superiority, they still face challenges in achieving useful results because BI’s deterioration and resilience mechanisms are ignored in existing digital twin models. Moreover, existing digital twin models face challenges in synchronising with their physical BI twin on a regular basis, adversely affecting their ability to automatically advise the BI operator about maintenance schedules.
DigitalBI will: 1) Develop new adaptive denoising deep learning (DL) methods and image-based numerical simulation methods to unravel deterioration mechanisms; 2) Develop a new numerical coupling method and physics-encoded neural networks to decipher the resilience mechanisms; and 3) develop a large multimodal model (TunnelGPT) to integrate approaches developed for the investigation of deterioration and resilience mechanisms to form a digital twin model for optimizing maintenance measures. This will combine the researcher's experience in deep learning-based BI maintenance with the supervisors' expertise in physics-informed DL and large language models.
DigitalBI will be expected to set the researcher for a career in academia in Europe, while improving the comprehension of BI's deterioration and resilience mechanisms to reduce maintenance costs and consumption of materials for the remediation of BI. DigitalBI will also enable policymakers to use TunnelGPT to obtain suggestions on maintenance measures including plan parameters.
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.
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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-2024-PF-01
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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.
LS2 9JT Leeds
United Kingdom
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.