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AI-driven probabilistic method for response-based design of rock armour slopes

Objective

Coastal regions are increasingly threatened by more severe and frequent storms and sea-level rise, which intensify erosion and flooding risks and endanger ports and coastal regions. To counter these hazards, rubble-mound breakwaters constructed with large quarry rocks are the most widely used protection structures worldwide. However, their construction demands vast material volumes, high financial costs, and generates significant CO2 emissions. Despite these investments, the hydraulic stability of armour units remains a critical challenge in design practice. Current methods largely rely on deterministic or semi-probabilistic approaches, applying conservative safety factors that ensure stability but result in overdesign, excessive rock consumption, and inflated carbon footprints. PRO-ARMOUR tackles this gap by delivering a new response-based AI-driven probabilistic method for rock armour design. The project combines advanced Level III Monte Carlo simulations, physics-informed AI-driven surrogate models, and a novel 3D experimental dataset to predict armour unit response under random waves and quantify uncertainty and failure probability with high accuracy. These advances will be translated into an open-access Python tool, providing engineers, contractors, and policymakers with transparent and practical tool for risk-informed design. By enabling cost-effective and climate-resilient solutions, PRO-ARMOUR will reduce armour use, construction costs, and CO2 emissions, directly supporting EU sustainability and adaptation goals. Hosted at TU Delft (Netherlands) with a secondment at the Polytechnic University of Bari (Italy), the fellowship merges world-leading expertise in probabilistic modelling, AI, breakwater engineering and experimental hydraulics. Beyond scientific innovation, I will foster societal impact by strengthening the resilience of vulnerable coastal communities, and economic and environmental impact through measurable savings and lower carbon footprints.

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Keywords

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Programme(s)

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Topic(s)

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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.

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.

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

TECHNISCHE UNIVERSITEIT DELFT
Net EU contribution

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.

€ 217 076,16
Total cost

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.

No data

Partners (1)