Objective
The safe and reliable transport of clean fuels such as hydrogen and biofuels depends on pipelines that can withstand demanding service conditions. Sandwich-structured pipelines are focused due to their unprecedented lightweight properties and superior mechanical resilience. However, buried sandwich-pressurised pipelines face persistent vulnerabilities, including embrittlement, corrosion, and delamination, that can threaten both environmental safety and energy reliability. To mitigate these risks, the project proposes an innovative, multidisciplinary Structural Health Monitoring (SHM) system for the pipelines by integrating cutting-edge non-destructive techniques, Guided Wave (GW) propagation and Electromechanical Impedance (EMI) with advanced machine learning (ML) and data fusion for robust, real-time monitoring and damage detection. Execution consists of four coordinated levels: i. a comprehensive numerical model to simulate the pipeline responses under varied operational and environmental conditions, ii. Experimental setup optimised for real-world deployment to collect high-fidelity sensor data under controlled and field conditions. iii. development of a hybrid ML-driven decision framework enhanced by data fusion for robust, accurate, and real-time damage monitoring. iv. Hybrid probability-weighted RAPID imaging tool for precise defect visualisation and localisation, elevating the sensitivity and accuracy of the damage detection system. The project’s multidisciplinary approach combines solid and fluid mechanics, electrostatics, signal processing, and advanced data analytics, delivering improved diagnostic reliability, predictive capabilities, and adaptable tools for other fluid storage applications, fully supporting EU sustainable energy objectives. Dedicated knowledge transfer to the host institution and structured training in advanced NDE, modelling, and AI-driven analytics, strengthening the fellow's skills and supporting career development in research.
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
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- engineering and technology environmental engineering energy and fuels
- engineering and technology industrial biotechnology biomaterials biofuels
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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.
LT-44029 Kaunas
Lithuania
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.