Objective
Offshore wind energy is central to Europe's net-zero transition, with capacity projected to reach 300 GW by 2050. Unlike oil and gas platforms, the limited capacity of individual offshore wind turbines (OWTs) requires large-scale, high-density deployment, placing stringent demands on siting and risk management. Yet continental shelf and slope regions in European seas face multi-hazard threats, particularly seismic submarine landslides (SSLs), which can trigger seabed deformation and impact loads, threatening OWT performance and structural integrity. Despite these risks, current planning rarely integrates SSL susceptibility, and tools to simulate SSL–OWT interactions under seismic loading remain limited, with multiple uncertainties seldom addressed.
SAFE-WIND will establish a probabilistic, multi-scale decision framework linking regional SSL susceptibility with site-specific OWT performance and failure probability. It will (i) compile seismic and landslide databases to produce susceptibility maps for high-risk zone identification and OWT layout optimisation; (ii) employ centrifuge testing and large-deformation modelling (MPM/CFD) to characterise SSL–OWT interactions and quantify key responses such as impact loads, pile displacement, and rotation; and (iii) integrate multiple uncertainties via Monte Carlo simulation, developing physics-informed surrogate models for rapid scenario-based risk assessment after seismic events.
Hosted at the University of Liverpool, with expertise in fluid–structure interaction, stochastic geo-hazard assessment, and OWT structural integrity, and supported by a secondment at HKUST to enhance geotechnical risk assessment and centrifuge modelling, SAFE-WIND will deliver susceptibility maps, validated large-deformation models, and rapid prediction tools. These outcomes will enable risk-informed siting, reliability assessment, and post-earthquake evaluation of OWTs in Europe.
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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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)
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Topic(s)
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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
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
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(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.
L69 7ZX LIVERPOOL
United Kingdom
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