About the project
This project will develop new methods for vortex flow prediction using advanced computational methods.
Vortex flow predictions are essential for understanding and ensuring the stability and control of bluff bodies, particularly in high-angle-of-attack (AOA) conditions where the flow becomes highly nonlinear and vortex-dominated. Under these conditions, the separation of flow over the body’s surfaces leads to the formation and shedding of vortices, which can have a great impact on the aerodynamic forces and moments acting on the body.
Sharp-edged components, such as fins or canards, are often the primary contributors to this vortex shedding, creating complex interactions between primary and secondary vortex systems. These interactions can influence not only the stability and maneuverability of vehicles but also their structural loading, which becomes increasingly challenging to predict due to the transient nature of the flow.
Accurately predicting these vortex-dominated flows requires advanced computational methods capable of capturing unsteady flow phenomena with high fidelity. This is particularly critical for applications where small deviations in aerodynamic forces or moments can lead to significant control challenges, such as during rapid manoeuvres or in gusty environments.
The ability to model and predict vortex flow dynamics not only improves design efficiency but also enhances safety margins, offering greater robustness and reliability for aerospace and defence applications.
The Centre for Doctoral Training in Complex Integrated Systems for Defence & Security (CISDnS) is committed to promoting equality, diversity and inclusivity. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break or are transitioning into a new role. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance.