PhD Studentship: Optimal Railway Network Maintenance
University of Nottingham - Faculty of Engineering, Centre for Risk and Reliability Engineering
|Funding for:||UK Students, EU Students|
|Funding amount:||£1,015 tax free stipend|
|Placed on:||27th May 2016|
|Closes:||31st October 2016|
Applications are invited for a PhD Studentship from suitably qualified graduates to work in the in Centre for Risk and Reliability Engineering, at the University of Nottingham.
The UK railway comprises of 20,000 miles of track and over 40,000 bridges. Much of the infrastructure is aging and, in order to satisfy the future demand for passenger and freight transport, will experience increased traffic densities and loads. The maintenance of such systems, to ensure a safe and reliable service restricted by limited financial resources, is a significant challenge and needs to be carefully managed. Computer models are used to relate the future state of any asset (track, structures, signalling, electrification, communications etc) to the whole life costs when any maintenance strategy is adopted. To make best use of the financial resources available to maintain the railway network, decisions need to be made on a whole life, whole system basis. The assets feature dependencies between them such as common budgets, common possession time, common inspections and the ability to take advantage of opportunities where the condition of one asset provides the chance to carry out work on another. This produces large scales models and the objective of this project is to develop an optimisation framework to select the best maintenance and renewal strategies across the extensive asset base.
This project aims to develop an optimisation software to support the decision making to set the ‘best’ asset maintenance strategy. It is anticipated that the features of such a problem will need a methodology which exploits the features of the problem solved rather than using generic optimisation methods such as genetic algorithms. The optimisation strategy may use either single objective or multi-objective formulations along with appropriate constraints to ensure that a practical solution is achieved.
The funding available will cover the fees of a home / EU student, and a tax free stipend will be offered of £1,015 per month.
Informal enquiries may be addressed to Professor John Andrews, tel: 0115 84 68448 or Email: firstname.lastname@example.org
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Midlands of England