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Stochastic response characterisation and reliability driven optimisation of floating wind turbines

Project Description

As the wind turbine installations move to deep-water environments, there is an increasing focus on the design considerations for floating wind turbines (FWTs). The uncertainties existing at various levels in the geometric and material variables, combined with complex stochastic aerodynamic and hydrodynamic loads lead to many research challenges in studying the stochastic response of FWTs. This project aims to develop innovative reliability based optimisation schemes for efficient design of FWT systems. The project will rationally combine outputs from fully coupled simulations with stochastic models, leading to target reliability basis for component optimisation. The models will initially focus on existing reliability levels and extend to consider varying target performance requirements.

Candidates should have (or expect to achieve) a UK honours degree at 2.1 or above (or equivalent) in Mechanical / Civil / Aerospace engineering.

Knowledge of: Structural mechanics, numerical analysis, computer programming, optimisation, structural reliability.


• Apply for Degree of Doctor of Philosophy in Engineering
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form

When applying please ensure all required documents are attached:

• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV

Informal inquiries can be made to Dr S Sriramula () with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ()

Funding Notes

This project is advertised in relation to the research areas of the discipline of Engineering. The successful applicant will be expected to provide the funding for Tuition fees, living expenses and maintenance. Details of the cost of study can be found by visiting View Website. THERE IS NO FUNDING ATTACHED TO THIS PROJECT.

How good is research at Aberdeen University in General Engineering?

FTE Category A staff submitted: 38.60

Research output data provided by the Research Excellence Framework (REF)

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