Data fusion architectures for fluid-structure interaction with large displacements
My research will aim to investigate how a full-complexity aeroelastic model of an aircraft, or more in general, a complex dynamical system, can be simplified while maintaining the most important information, resulting in a Reduced Order Model (ROM). There has been progress in the isolated disciplines, but the strong coupling between aerodynamics and structural dynamics brings a new set of difficulties, specially when considering large wing deflections.
I am particulary interested in how the information that is assembled into the model is selected. A key question that I want to answer is: what is the best strategy to fuse the information that different methods provide based on their suitability? And how could this suitability be estimated? This is what is called a Multifidelity Model, and it is a very recent and active field of research that includes aspects of uncertainty quantification, physics modeling and computational methods.
My focus right now is the developement of the new version of SHARPy (Simulation of High Aspect Ratio Planes in Python). It can be found here. When finished, this version of SHARPy will feature time-domain simulation of very flexible aeroelastic systems capabilities together with an improved interface and optimised code.
- 2014-2015: MSc (Dist) Advanced Computational Methods for Aeronautics, Flow Management and Fluid-Structure Interaction. Imperial College London
-2015-2016: High Altitude Long Endurance (HALE) Pseudo-Satellite Aeroelasticity Engineer. Airbus Group Innovations, Bristol UK.
Department of Aeronautics,
Room 363A, Roderic Hill Building,
Imperial College, South Kensington Campus,
Prince Consort Road,
London SW7 2AZ
Tel: +44 (0)20 759 45119