Dr I Laory, Prof J.T. Mottram
No more applications being accepted
About the Project
Much of infrastructures such as roads, railways, bridges and utilities have been built up over the last two centuries. Hence investment in “the skeleton” that supports our economy is needed and overdue. Structural health monitoring (SHM) has the potential to improve maintenance (i.e. save money) through early detection and replacement avoidance. However, the bottleneck is data interpretation. This task is even more difficult in the presence of environmental effects such as variations in wind, humidity and temperature.
This project will focus on the development of methodologies for SHM (i.e. structural identification and damage detection) that account for environmental variations. A detailed study will be conducted on relationships between environmental variations and structural behaviour. The project will involve finite element modelling of civil structures and advanced computing methods such as genetic algorithm, artificial neural network and support vector regression.
Funding Notes
Due to funding restrictions this award will only cover the fee level for UK or EU fees. Overseas students may apply and, if successful would be required to make up the difference in fees between the home and the overseas rates.
Candidates should have a good background in scientific computing and a first or upper second class degree in Civil Engineering, Mechanical Engineering or a related discipline. Experience in FE modelling and experimental research would be advantageous.
The Scholarship will pay a stipend at the standard rate (currently £13,863) and tuition fees at the Home/EU rate for three years.
References
How to apply:
To apply for this post you must complete the online application form and quote scholarship reference ILJTM14.
As soon as you have a University ID number you will be invited to upload your degree certificate, transcripts, CV and a personal statement that explains your specific research interests and why you should be considered for this award.
Application Form Course Details:
Department: School of Engineering
Course Type: Research
Course: Engineering (PhD)
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