SOURCE-LINKED INTELLIGENCE

Improve offshore infrastructure resilience against geohazards towards a changing climate

CORDIS · observation · Publication date unknown

ementation of the novel physical/numerical modelling and lab studies, our approach is unique in the solid integration and utilisation of state-of-the-art data science technologies (e.g., data mining, machine learning, etc.) to their full potential. Only through this systematic approach, we can achieve the objectives of understanding the impact of offshore geohazards on our offshore critical infrastructures (OCIs) and developing novel models, tools and designs for future OCIs, such as, wind turbines, pipelines and cables. The Doctoral Candidates will enjoy a highly integrated, interdisciplinary and intersector training environment, enriched through secondments with the network of non-academics. POSEIDON enables critical learning across all training aspects to ensure that comprehensive, robust and implementable solutions are obtained and validated to face the OCIs climate-resilient building. PFEM; LBM - DEM; Microstructure; Sustainability; Resilient

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recordType

award

status

SIGNED

region

EU

value

2780668.8

unit

EUR