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Multi-hazard risk and uncertainty quantification for rail infrastructure systems


Project Description

The University of Birmingham, as part of a multi-university multi-disciplinary rail research team, has recently been The University of Birmingham is host to the world-leading Birmingham Centre for Railway Research and Education, a multi-disciplinary group of staff from the Schools of Civil Engineering, Electronic, Electrical & Systems Engineering, Mechanical Engineering and Materials & Metallurgy. The Birmingham Centre for Railway Research and Education brings together a multidisciplinary team from across the University to tackle fundamental railway engineering problems.

Aging railway infrastructure around the world is at risk of natural and man-made extreme events. This is recently evidenced by many natural hazards such as earthquake, extreme heat, snow storm and flash flood, as well as man-made ones in Brussels recently. On this ground, multi-hazard risk modelling and uncertainty quantification for rail infrastructure systems capable of predicting stochastic risk simulation are necessary to assure public safety and operational reliability. Some of common damages of rail assets subjected to such extreme events include damaged components, track buckling, shear crack of tunneling, and so on. These could potentially lead to catastrophic incident, causing financial and human losses. Therefore, there is a necessity to develop a new surrogate model coupled with numerical assessments, which enrich rail industry capability to virtually investigate structural risks, reliability and safety of rail infrastructure systems and to improve appropriate resilience of the rail infrastructure.

This research will aim at developing multi-hazard risk and vulnerability framework for rail infrastructure related to emerging risks, and then predicting stochastic and structural responses to multi-hazard events. It will develop new reliable monitoring technique using advanced sensing method, and providing strategic guidance for resilience evaluation and improvement associated with current risk-based inspection practice.

We are looking for people to conduct research alongside the research fellows, and academics to develop an enhanced reliable monitoring system and predictive structural modeling for railway industry. This is a challenging problem with a strong potential for rail industry application. Tuition fee waiver and research assistantship is available for UK/EU nationals.

Applications are therefore sought from individuals with an interest and experience in civil, structural, or mechanical engineering but who also have a potential interest in field testing, structural dynamics, seismic engineering, and uncertainty quantification. Candidates must have a strong academic background in engineering, applied science or applied mathematics. Enthusiasm, can-do attitude and strong skills in structural mechanics, dynamics and mathematical and computer modelling (or strong motivation and clear potential to learn these), and willingness to engage in experimental work are a must. Preference will be given to applicants who can demonstrate both a clear potential for research excellence and their suitability for research project described above.

Informal enquires can be sent to Dr Sakdirat Kaewunruen () and in the first instance should contain a covering letter and a CV.

To find out more about studying for a PhD at the University of Birmingham, including full details of the research undertaken in each school, the funding opportunities for each subject, and guidance on making your application, you can now order your copy of the new Doctoral Research Prospectus, at: http://www.birmingham.ac.uk/students/drp.aspx

Funding Notes

Tuition fee waiver and research assistantship is available for UK/EU nationals. Partial tuition fee scholarship is available for international students.

How good is research at University of Birmingham in Civil and Construction Engineering?

FTE Category A staff submitted: 18.10

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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