🎓 Discover PhD and Master's programmes at leading universities worldwide — Sign up free to save searches and get email alerts
Sign In Register Free
DU

Modelling of subsea cable flow induced vibration effects in offshore wind farms

Durham University Offshore Wind CDT
Self-funded 🎓 Applied Mathematics 🎓 Engineering Mathematics 🎓 Fluid Mechanics 🎓 Hydrology 🎓 Marine Engineering 🎓 Mechanical Engineering 🎓 Mechanics 🎓 Offshore Engineering 🎓 Solid Mechanics 🎓 Structural Engineering CFD fatigue analysis fluid-structure interaction offshore wind numerical modelling OpenFOAM OrcaFlex flow-induced vibration offshore power transmission subsea cables time-domain strip theory

This fully-funded PhD investigates flow-induced vibrations (FIV) in subsea cables for offshore wind farms, developing robust numerical models to predict structural response under complex environmental loading and improve reliability of offshore power transmission.

Project Description

Subsea cables in offshore wind farms face dynamic loading from waves, currents, and wakes, causing flow-induced vibrations (FIV) that can lead to fatigue and costly failures. Current industry tools struggle to capture localized effects accurately. This PhD will: Develop a time-domain strip-theory model using sectional forces from CFD to simulate cable FIV Extend models to account for spatially and temporally varying flow conditions, such as wake effects or seabed shear Implement numerical simulations and validate against published benchmark data and experimental results Collaborate with industrial partners including PDL Group, ORE Catapult, and Orcina (OrcaFlex) to ensure industrial relevance Candidates will gain expertise in fluid–structure interaction, numerical methods, and offshore renewable energy system reliability, combining academic research with industrial application.

Entry Requirements

First-class Honours degree, 2:1 plus Masters, or Masters with Distinction in engineering, computer science, or physics
Coding experience required
English proficiency: IELTS 7.0 overall (min 6.0 in each skill)
Open to international applicants
Guaranteed interview scheme for eligible home students from underrepresented ethnic backgrounds

How to Apply

Applications submitted to Durham University via the Offshore Wind CDT website. Rolling application for September 2026 entry; early submission encouraged.

Eligibility

UK/Home
EU
International

Supervisor Profile

DL
Dr Lian Gan, Prof James Gilbert, Prof William Coombs
Durham University, Offshore Wind CDT

Related Opportunities

PhD Research on Advanced Infrastructure Materials and Cementitious Mixtures
University of Miami Ali Ghahremaninezhad 🎓 Civil Engineering 🎓 Materials Science

Explore the advanced mechanical and durability properties of cementitious materials modified with innovative additives. Investigate failure mechanisms in metals and contribute to sustainable infrastructure material deve…

This research enhances the sustainability and performance of construction materials critical to infrastructure longevity. Innovations in ce…

Infrastructure Materials
Self-funded
Added 3 weeks, 2 days ago View & Apply
PhD on Materials, Manufacturing, and Recycling of Electrochemical Energy Storage Systems
University of Oklahoma Dr. Manoj Jangid 🎓 Chemical Engineering 🎓 Materials Science

Explore the science of next-generation batteries focusing on materials and recycling techniques. Investigate coatings and stress dynamics to boost battery durability and efficiency in real applications.

This research is critical for developing longer-lasting, safer, and more sustainable batteries essential for electric vehicles and renewabl…

1050+ citations · h20
Electrochemistry Materials Engineering Coating Interfaces Li-ion Batteries
Self-funded
Added 3 weeks, 2 days ago View & Apply
Rigorous Safety and Reliability in Autonomous Systems via Formal Verification and Data-Driven Control
University of Birmingham Prof. Sadegh Soudjani 🎓 Applied Mathematics 🎓 Computer Science Deadline: 10 May 2024

Explore how to develop mathematically rigorous methods ensuring safety and reliability in autonomous systems by integrating control theory, formal verification, and probabilistic approaches. Ideal for candidates eager t…

This research is crucial for advancing the safety and reliability of autonomous systems deployed in real-world safety-critical applications…

3500+ citations · h30
Cyber-Physical Systems Safe Autonomy & AI Model Checking Formal Methods
✓ Fully Funded ⏰ Closing Soon
Added 3 weeks, 2 days ago View & Apply
PhD Positions in Multiscale Modeling and Scientific Machine Learning for Computational Biomedicine
Rowan University Dr. Guansheng Li 🎓 Applied Mathematics 🎓 Biomedical Engineering

Explore multiscale blood flow and cell mechanics through computational and machine learning models. Integrate experimental data with simulations to advance biomedical applications in blood diseases.

This research addresses critical challenges in understanding blood flow mechanics and disease pathology through integrated computational an…

300+ citations · h10
Multiscale modelling Smoothed dissipative particle dynamics scientific machine learning
✓ Fully Funded
Added 3 weeks, 2 days ago View & Apply