Objective
The global maritime industry faces a challenge with the International Maritime Organization's 2023 strategy to achieve net-zero emissions from ships by 2050. Wind-assisted propulsion technologies have emerged as a promising solution for reducing fuel consumption and environmental impact. This research project focuses on numerically predicting the dynamic fluid-structure interaction (FSI) of wind-assisted ships (WAS), to determine the fatigue life of windsails.
The project aims to address critical challenges in implementing wind-assisted propulsion systems through innovative numerical methods and advanced simulations. The main objective is to study the interactions between wave-induced ship motions and the aerodynamic performance of a wingsail. The project will investigate the impact of different levels of FSI coupling on the structural responses and cyclic loading experienced by the wingsail. This will enable the assessment of how simulation fidelity (i.e. the degree of FSI modelling) influences the fatigue life analysis and structural design. The outcomes will enable informed decision-making regarding wind-assisted technologies and support structural design optimization. These findings will support the maritime industry’s efforts to meet IMO emissions reduction targets and contribute to decarbonizing global shipping.
The project will advance my career by building on my numerical modelling background and utilizing the cutting-edge facilities at the University of Southampton. The university’s expertise in numerical modelling and maritime engineering will support successful research completion. Dissemination will target scientific communities in fluid dynamics and maritime engineering for immediate impact. By tackling technical and economic challenges of wind-assisted ships, this project will enhance EU competitiveness in renewable energy and support my career prospects in sustainable maritime technology.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
SO17 1BJ Southampton
United Kingdom