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 probabilistic aerodynamic and hydrodynamic loads lead to many research challenges in studying the stochastic response of FWTs [1-2]. There is a need to develop computationally efficient performance evaluation approaches considering the nonlinear dependencies between the stochastic variables accurately. This, when combined with cost-based considerations, can lead towards optimal design basis.
This PhD research will aim 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 performance computations will consider a wide range of failure conditions through suitable surrogate (machine learning) models for efficient system representation. The models will initially focus on existing reliability levels and later extend to consider varying target performance requirements. An understanding of the underlying reliability of these structures is essential for developing rational safety factors and this research will also contribute in this direction.
Selection will be made on academic merit. The successful candidate should have (or expect to achieve) a minimum of a UK Honours degree at 2.1 or above (or equivalent) in Aerospace/ Civil / Marine/ Mechanical engineering.
Essential knowledge: Structural mechanics, numerical analysis, computer programming, optimisation, structural reliability.
APPLICATION PROCEDURE:
Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php
• 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, Personal Statement/Motivation Letter and Intended source of funding
Informal inquiries can be made to Dr S Sriramula ([Email Address Removed]) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([Email Address Removed])