Objective
OCTAGON will train 12 Doctoral Candidates to investigate the scientific mechanisms governing the behaviour of carbon-fibre-reinforced composites during manufacturing and environmental exposure. Reducing Product Development Lead Time (PDLT) is essential to meet the EU’s ambitious CO2 and NOₓ emission targets. Yet progress is limited by two related challenges: long characterisation times under hot and humid conditions, and the limited ability to predict Process-Induced Deformations (PIDs). Although these issues appear distinct, both stem from the lack of fast, reproducible experimental methods and predictive models that can capture the coupled effects of moisture, curing, temperature, and stress across multiple scales.
OCTAGON will address these bottlenecks through a unified scientific strategy. It will develop miniaturised, rapid, and standardised experimental methods to quantify moisture uptake, cure evolution, and internal stress development in small material volumes, thereby reducing testing time and generating high-quality datasets for modelling. These data will inform advanced multiscale models that link microscopic behaviours with macroscopic structural responses, providing a robust scientific basis for understanding environmental effects and PIDs. Artificial intelligence (AI) plays a central role in this approach. By integrating physics-informed AI and uncertainty quantification with an Integrated Computational Materials Engineering (ICME) framework- connecting materials, processes and structural performance - OCTAGON will create surrogates that learn from experiments and high-fidelity simulations, enabling fast, accurate and uncertainty-aware predictions under manufacturing and service conditions.
Through a multidisciplinary training programme, OCTAGON will prepare researchers capable of advancing the scientific foundations needed to accelerate the reliable introduction of innovative composite materials into engineering applications.
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.
- natural sciences computer and information sciences artificial intelligence
- engineering and technology materials engineering composites
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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-DN - HORIZON TMA MSCA Doctoral Networks
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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-DN-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.
28906 Getafe
Spain
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.