Mechanics / Structural Vibration: Fully Funded PhD Studentship in a Framework for Reduced Order Modelling in Structural Dynamics

Identifying and validating models for complex structures featuring nonlinearity remains a problem at the cutting edge of structural dynamics, with applications ranging from civil structures to microelectronics and space hardware. The aim is a machine learning approach that can build a model from experimental and operational data, but with sufficient physical insight to ensure that the model is robust and interpretable. The proposed PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics, addressing the critical challenge of balancing model accuracy with computational efficiency, and the requirements of experimental validation. The aim is to identify the most significant modes that capture the essential dynamic behaviour of complex structures while discarding those that contribute minimally, thus reducing the model's order without compromising accuracy. The framework will employ advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and optimize the mode selection process. The outcome will be a robust, scalable methodology that enhances the performance of ROMs, making them more applicable to a wide range of engineering problems, including real-time structural health monitoring, vibration analysis, and control design.  

The ideal candidate will have an outstanding engineering or related background, preferably with some experimental or practical experience. It comes with a generous stipend and funds for other research and training costs. The position is funded by an EPSRC IDLA award, in partnership with The Dyson Institute. There is a placement at the Dyson Institute for at least 3 months. 

Funding Details

Funding Comment

This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2024/25).

Additional research expenses of up to £2,000 per year will also be available.

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