NTU's Fully-funded PhD Studentship Scheme 2022
Project ID: S&T22
Vibroacoustic analysis is important for minimising noise pollution, structural fatigue, and to meet customer expectations of a brand. Predicting the vibrational energy distribution throughout complex built-up structures, such as cars, trains or aircraft is highly challenging. For large structures the problem becomes multi-scale, since the wavelengths will be short in comparison with the overall structure size, yet the structure will often contain fine details on the scale of the wavelength such as spot welds, rib-like stiffeners or inhomogeneities within a composite material. Such features often appear in a regular and repeated fashion, and hence characterising the wave dynamics within a periodic medium is an important step towards understanding the vibrational behaviour.
The aim of this project is to develop a library of energy transmission/ reflection models to assist in the virtual design of quieter, more robust and more comfortable products. We will focus on physics-based solutions to attenuate noise and vibration (for example, stop bands of periodic media or the acoustic black hole effect), rather than simply adding mass, in order to reduce weight and increase efficiency and sustainability. Simple test cases for the transmission/ reflection models will be considered initially, and both analytic and asymptotic solution methods will be investigated. Finite element techniques will be employed when analytic methods are no longer feasible in complex geometric or higher dimensional settings. By then incorporating these models into a novel high frequency energy propagation method called dynamical energy analysis, we will be able to analyse the effect of these smaller scale features in the context of the bigger picture of the entire structure.
The project would ideally suit a highly motivated candidate with a passion for using mathematical modelling to help design more sustainable and environmentally friendly products based on lightweight composite and multi-material structures, such as those designed by our award winning* project collaborator Far UK Ltd. A good background in partial differential equations, a willingness to develop your skills in scientific computing would also be beneficial.
The main goal of the project is to develop enhanced simulation algorithms for virtual design with applications in mechanical engineering. The development of enhanced simulation methods saves energy, costs and resource usage by manufacturers through the reduction in physical prototyping via virtual prototypes and digital twins.
*Far UK Ltd. have recently won an Innovation Award by the Journal of European Composites and "Technical Innovation of the Year" at the prestigious Global Light Rail Awards 2019
For the eligibility criteria, visit our studentship application page.
How to apply
For guidance and to make an application, please visit our studentship application page. The application deadline is Friday 14 January 2022.
Fees and funding
This is part of NTU's 2022 fully-funded PhD Studentship Scheme.
Guidance and support
Download our full applicant guidance notes for more information.