About the Project
This highly industry-relevant research will pave the way for industry uptake of the automated damage monitoring technologies.
Candidates should have (or expect to achieve) a UK honours degree at 2.1 or above (or equivalent) in Mechanical, Civil (Structural), Aerospace Engineering, Applied Physics, Mathematical Physics, Applied Mathematics.
Candidates must have strong academic background in engineering, applied physics or applied mathematics. Enthusiasm, can-do attitude and strong skills in structural mechanics, materials mechanics, dynamics and mathematical and computer modelling (or strong motivation and clear potential to learn these quickly, efficiently and independently), as well as willingness to engage in experimental work are all must-haves. Preference will be given to applicants who can demonstrate both a clear potential for research excellence and their suitability for the research project described above.
• Apply for Degree of Doctor of Philosophy in Engineering
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form
When applying please ensure all required documents are attached:
• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV
Informal inquiries can be made to Dr P Omenzetter (email@example.com), with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School (firstname.lastname@example.org)
It is possible to undertake this project entirely by distance learning. Interested parties should discuss this with Dr Omenzetter.
MSC Kenny 2010 Guidance note on monitoring methods and integrity assurance for unbonded flexible pipes, Report 2-4-5-013/SR02
Hoell, S., Omenzetter, P. 2016 Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades, Mechanical Systems and Signal Processing 70-71:557–577
Pavlovskaia, E., Keber, M., Postnikov, A., Reddington, K., Wiercigroch, M. 2016 Multi-modes approach to modelling of vortex-induced vibration, International Journal of Nonlinear Mechanics (in press)
Hara, S., Kawahara, Y., Washio, T., von Bünau, P., Tokunaga, T.,
Yumoto, K. 2015 Separation of stationary and non-stationary sources with a generalized eigenvalue problem, Neural Networks 33:7-20
Farrar, C. et al. 2007 Nonlinear System Identification for Damage Detection, Report LA-14353, Los Alamos National Laboratory
Why not add a message here
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.