Ã÷ÐÇ°ËØÔ

Research area(s)

With over 15 years of expertise, Mayo's research centres on the analytical and numerical modelling of fluid and solid continua; bridging theoretical foundations and practical applications. He has made numerous impactful contributions to the aerospace industry, many of which have been published in leading international journals. His advancements include:

• Computational Modelling: Advancing the modelling of dynamical systems and manufacturing processes.
• Structural Damping: Developing innovative models for predicting and modelling structural damping.
• Analytical Methods: Developed a patented analytical method for manufacturing elongate aircraft wing stringers, enabling precision and efficiency from the first production—the "right-first-time" approach.
• Numerical Methods: Innovating techniques such as the finite block method, multiphase modelling, and scale-resolved turbulence modelling, with applications in aeroelasticity.

More recently, Mayo developed the breakthrough Unified Dynamic Similitude Model, an approach that provides strictly accurate dynamic similitude for any given dynamic system. This model addresses the limitation of existing approaches, which is that they are problem-specific.

Research Interests

Mayo's primary research interest includes:

• Dynamic Similitude
• Scale-Resolved Turbulence Modelling
• Fluid-Structure Interaction and Aeroelasticity
• Dynamic Systems
• Drag Reduction
• Numerical modelling of dynamic systems or manufacturing processes

Project details

Available Doctoral Studentship:

, an EPSRC funded Doctoral Landscape Award (DLA) and Airbus PhD studentship.