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Alex J Elliott

Cranfield University 75th Anniversary Research Fellow

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Hello! I'm Dr Alex J Elliott and I am a 75th Anniversary Research Fellow at Cranfield University, working on my project Developing accurate, reduced-order models for nonlinear vibrations: a machine learning approach. I am also a member of the Foundation for Science and Technology 2022 Future Leaders cohort.

This project will address the need for reliable, data-driven reduced-order models for geometrically nonlinear engineering structures. State-of-the-art machine learning techniques will allow accurate simulation to be used to train low-order models that can capture complex nonlinear and provide uncertainty data. These ROMs will facilitate enhanced understanding and control of next-generation engineering designs, focusing initially on aerospace solutions - such as high-aspect ratio wings - and expanding to a variety of applications across the engineering disciplines.

Research Interests

I am eager to develop a research team to investigate the use of machine learning methods to develop accurate reduced-order models for nonlinear structures, as well as related research in reduced-order modelling, nonlinear vibrations, uncertainty quantification, and aeroelasticity. Candidates with a strong background in structural vibrations, deep learning, complex dynamics, and mathematics are strongly encouraged to get in touch to discuss the aforementioned topics and explore potential research avenues.

In addition, I am very keen for the solutions developed to be industrially valuable. Any potential industrial partners are welcome to contact for further details and discussion on potential collaboration.

Selected Publications

A. J. Elliott, Accurate Approximations for Nonlinear Vibrations, PhD Thesis (2019). DOI: 10.13140/RG.2.2.11821.64481

A. J. Elliott, A. Cammarano, S. A. Neild, T. L. Hill, D. J. Wagg, Using frequency detuning to compare analytical approximations for forced responses, Nonlinear Dynamics (2019). DOI: 10.1007/s11071-019-05229-6

A. J. Elliott, A. Cammarano, S. A. Neild, T. L. Hill, D. J. Wagg, Comparing the direct normal form and multiple scales methods through frequency detuning, Nonlinear Dynamics (2018). DOI: 10.1007/s11071-018-4534-1

I. Tartaruga, A. J. Elliott, T. L. Hill, S. A. Neild, A. Cammarano, The effect of nonlinear cross-coupling on reduced-order modelling, International Journal of Non-Linear Mechanics (2019). DOI: 10.1016/j.ijnonlinmec.2019.05.006

A. J. Elliott, G. Falcone, D. van Putten, T. Leonard, K. Haukalid, B. Pinguet, Investigating reproducibility in multiphase flow metrology: Results from an intercomparison of laboratories, Flow Measurement and Instrumentation (2021). DOI: 10.1016/j.flowmeasinst.2021.101951

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