Fatigue analysis of riveted connections using advanced numerical models

PhD scholarship on an exciting project in collaboration with Network Rail on the development of next-generation finite element models for fatigue analysis of riveted railway bridges.

Start date

1 October 2026

Duration

3.5 years

Application deadline

Funding source

EPSRC

Funding information

Fully-funded studentship opportunities covering home and international university fees, additional research training, travel funds and UKRI standard rate (£21,805 for 2026/27 academic year).

About

The majority of metallic railway bridges in UK, approximately 10,000 in total, are already exceeding 100 years of age and are approaching the end of their theoretical service life. Replacement of these structures will be extremely expensive and practically impossible unless phased-in over several decades. Development and use of more accurate methods on assessing their remaining life will enable better prioritisation of future repair and replacement interventions on elderly bridges. The principal aim of this project is the development of advanced calibrated numerical models for riveted bridge details which will be combined with fatigue assessment theories which have been successfully developed in other industries (mechanical, aerospace). This includes the Theory of Critical Distances (TCD) method which is based on processing of numerical outputs obtained from detailed three-dimensional finite element analyses. This will enable a step-change from currently-employed bridge detail-specific methods, which are challenging to implement on complex Victorian non-standardised bridge designs, to a method that can be applied universally on any complex bridge detail by making use of increased computational power and digital capabilities for advanced numerical modelling. This is expected to lead to a more efficient use of limited and stretched resources and can reduce the rate of repair or unwarranted early replacement, thus keeping the railway network operating for longer periods without unnecessary disturbances. The project will utilise data obtained from a recently-completed large experimental campaign on a disassembled railway bridge provided by Network Rail (https://www.surrey.ac.uk/research-projects/fatigue-and-u-frame-assessment-metallic-railway-bridges) towards the detailed calibration of numerical models and enhancement of their predictive capabilities. The outcomes of this applied research will feed into the standardisation and dissemination of these issues and their integration within existing bridge assessment rules.

Eligibility criteria

MEng in Civil/Structural/Mechanical/Aeronautical/Automotive/Offshore Engineering with a UK equivalent 2:1 classification or above.

Or BEng in Civil/Structural/Mechanical/Aeronautical/Automotive/Offshore Engineering with a UK equivalent 2:1 classification or above and MSc degree in Structural Mechanics/Structural Engineering.

In addition to the academic qualifications listed above, skills in numerical modelling of structures using Finite Element Analysis and/or MATLAB are desirable, as is an understanding of fatigue/fracture phenomena in metallic structures. Relevant work experience is also useful (please provide sufficient detail in your CV/cover letter so that its relevance can be established).

Open to any UK or international candidates. Up to 30% of our UKRI funded studentships can be awarded to candidates paying international rate fees. Find out more about eligibility.

How to apply

Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor. Applicants are required to send a cover letter explaining their interest in the project, a CV with relevant qualifications and prior expertise in areas relevant to the project, relevant transcripts and the names and contact details of two referees. At least one reference should be from an individual with good knowledge of the applicant’s academic record, especially in projects/dissertations.

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Application deadline

Contact details

Boulent Imam
05 AA 03
Telephone: +44 (0)1483 689679
E-mail: b.imam@surrey.ac.uk
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