An integrated approach for damage identification in composite materials - Ref: KB3UF2018

Non-destructive inspection based on acoustics is today one the primary methods for the identification of damage precursors in components and structures. Acoustics-based methods are widely used to monitor material states during manufacturing or in operational conditions, however, there is a need for models that would assist in the interpretation of experimental findings.

The aim of this project is the identification of damage in composite plates through an integrated experimental-computational approach. To this aim, experimental measurements at the micro- and macro-scale using state-of-the art monitoring techniques (e.g. micro-CT, Digital Image Correlation) will be used to quantify damage states and create inputs for the computational approach. The latter will leverage particle-based and continuum level numerical techniques (peridynamics, XFEM) suitable to study wave propagation in layered materials and simulation of fracture events. Then, damaged regions will be predicted through modeling of ultrasonic testing. Also, the energy release of characteristic fracture types will be quantified, which is crucial to the design of next generation sensing technologies.

Entry requirements
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical Engineering, Materials Science, Applied Mathematics or a related subject.

A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Mechanical Engineering, Computational Solid Mechanics, Materials Science

How to apply
All applications should be made online. Under programme name select Mechanical and Manufacturing Engineering. Please quote reference number: KB3UF2018