An integrated approach for damage identification in composite materials PhD

Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
3 years
6 years
Reference number:
Start date:
01 October 2018
UK/EU fees:
International fees:
Application deadline:
09 March 2018



in the UK for research quality

REF 2014


in the UK for Mechanical Engineering

The Complete University Guide 2018


of 2 Queen's Anniversary Prizes


Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. 

Project detail

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. 


Primary supervisor: Konstantinos Baxevanakis

Find out more

For further project details email Konstantinos Baxevanakis or register your interest and ask us a question.

To find out more about the School of Mechanical, Electrical and Manufacturing Engineering, please visit our website.

Recommended reading:

  • J.A. Cuadra, K.P. Baxevanakis, M. Mazzotti, I. Bartoli and A. Kontsos, 2016. Energy dissipation via acoustic emission in ductile crack initiation, International Journal of Fracture 199, 89-104. doi: 10.1007/s10704-016-0096-8 

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.

All students must also meet the minimum English Language requirements.

Fees and funding


Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for funding opportunities which may become available in the School.

How to apply

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