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.
Classical train-track modeling adopts analytical and finite element method for computation of multi-body dynamic problem. Many researchers around the world have still used this approach for predicting dynamic responses, contact forces, structural deformation, and vehicle stability. The computing process of this traditional method is time consuming. Reduced-order models (ROMs) are usually considered as computationally inexpensive mathematical representations that offer the potential for near real-time analysis. It is found that most ROMs can compute and predict large and complex modeling (such as coupled train-track model), their construction can however be computationally expensive as it requires accumulating a large number of system responses to input excitations.
This research will aim at developing a hyper-reduction nonlinear coupled model of train and track, which is robust with respect to parameter changes (due to train speed, axle load, track stiffness, and train unsprung mass) and is computationally flexible for model variation (such as wheel/rail contacts and tensionless ballast).
We are looking for people to conduct research alongside the research fellows, and academics to develop an advanced model of train-track interaction that benefits railway industry. This is a challenging problem with a strong potential for rail industry application.
Applications are therefore sought from individuals with an interest and experience in civil, structural, mechanical engineering, mathematics and physics, but who also have a potential interest in computational dynamics, uncertainty quantification, and model-reduction mathematics. 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 ([email protected]
) and in the first instance should contain a covering letter and a CV.
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