Alasdair Christison Gray

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Research Interests

I'm interested in developing methods that might make high-fidelity MDO a practical tool for designing the next generation of highly flexible aircraft. For example, in my MSc thesis and the corresponding conference paper, I expanded the Lab's MACH framework to enable the use of geometrically nonlinear finite element models which are critical for accurately modelling the aeroelastic behaviour of very flexible wings.

More recently I have been working on a framework for including geometrically nonlinear flutter constraints in high fidelity aerostructural optimization.




  1. To CFD or not to CFD? Comparing RANS and viscous panel methods for airfoil shape optimization

    E. J. Adler, A. C. Gray, and J. R. R. A. Martins

    33rd Congress of the International Council of the Aeronautical Sciences, 2022

  2. High-fidelity Aerostructural Optimization with a Geometrically Nonlinear Flutter Constraint

    A. C. Gray, C. Riso, E. Jonsson, J. R. R. A. Martins, and C. E. S. Cesnik

    International Forum on Aeroelasticity and Structural Dynamics (IFASD 2022), 2022

  3. High-Fidelity Gradient-Based Wing Structural Optimization Including a Geometrically Nonlinear Flutter Constraint

    E. Jonsson, C. Riso, B. B. Monteiro, A. C. Gray, J. R. R. A. Martins, and C. E. S. Cesnik

    AIAA SciTech Forum, 2022




  1. Geometrically Nonlinear High-fidelity Aerostructural Optimization for Highly Flexible Wings

    A. C. Gray, and J. R. R. A. Martins

    Proceedings of the AIAA SciTech Forum, 2021



Honors and Awards


I've spent countless hours helping design race cars for the Formula Student teams in both Edinburgh and Delft. Nowadays I spend my spare time playing squash and poorly recreating Bon App├ętit recipes.