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Aeronautical, Maritime and Transport Engineering (php) PhD Projects, Programs & Scholarships

We have 11 Aeronautical, Maritime and Transport Engineering (php) PhD Projects, Programs & Scholarships

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  Advanced design of fibre reinforced composites - using multiscale reliability analysis and optimisation
  Dr P Dunning, Dr S Sriramula
Applications accepted all year round

Funding Type

PhD Type

This project aims to advance the design of components made from fibre reinforced composite materials, by combining techniques in multiscale analysis, structural reliability and design optimisation.
  Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal design, inspections, structural health monitoring and structural control
  Dr P Omenzetter, Dr P Dunning, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

Wind turbines are exposed to frequent structural damage increasing the cost of wind energy generation. To drive these costs down, this project will develop new automated methods for detection of structural damage to wind turbines by examining vibration responses measured by sensors attached to the structure.
  Integrated Aero/Hydro/Structural Analysis and Multi-objective Optimisation of Floating Wind Turbines
  Dr A Maheri, Dr S Sriramula
Applications accepted all year round

Funding Type

PhD Type

Floating wind energy is potentially a highly scalable future energy source. Almost 80% of the Europe wind resources are in waters with +60 m depth, where floating offshore wind turbines are deemed to be the natural solutions.
  Marine risers: experimental damage detection, monitoring and numerical modelling using digital twins
  Dr P Omenzetter, Dr D Van der A, Prof E Pavlovskaia
Applications accepted all year round

Funding Type

PhD Type

Marine risers are critical components of any offshore oil and gas production operations linking subsea field developments with production and drilling equipment atop fixed or floating facilities.
  Modelling of joining technologies for novel metal matrix composites for offshore applications
  Prof I Guz, Prof M Kashtalyan
Applications accepted all year round

Funding Type

PhD Type

Metal matrix composites (MMCs) present remarkable properties by combining the properties of the metal matrix and of ceramic reinforcement.
  Multi-objective Optimisation of Hybrid Renewable Energy Systems
  Dr A Maheri, Dr S Sriramula
Applications accepted all year round

Funding Type

PhD Type

In planning and sizing of hybrid energy systems the conflicting objectives cost and performance are to be optimised simultaneously via a multi-objective optimisation process [1-2].
  Nonlinear topology optimisation of stiffened shell structures
  Dr P Dunning, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop topology optimisation methods for the design of stiffened shell structures, considering nonlinear affects.
  Optimising Mechanical Performance of Additively Manufactured (3D Printed) Titanium Alloys
  Dr M Kartal, Dr Amir Siddiq
Applications accepted all year round

Funding Type

PhD Type

Additive Manufacturing (AM), also known as 3D printing, is a common term used to describe the technology in which three-dimensional (3D) objects are fabricated by successive layers of material.
  Predicting mechanical properties of nanocomposites with brush-like reinforcement
  Prof I Guz, Prof M Kashtalyan
Applications accepted all year round

Funding Type

PhD Type

The project will focus on creating the multi-scale three-dimensional models for accurate analytical prediction of the effect of reinforcement with bristled nanowires on the overall performance of the composite material, leading to the optimal usage of very expensive nanomaterials.
  Reliability of pipelines under spatially varying corrosion defects
  Dr S Sriramula, Dr H Tan
Applications accepted all year round

Funding Type

PhD Type

The integrity of pipelines is greatly affected by the initiation and progression of corrosion defects. It has been widely recognised that random variations in these characteristics can be rationally quantified with probabilistic approaches.
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