The prediction of the remaining fatigue life of existing rail and road bridges is a relevant task to safely prolong their use. You will develop structural health monitoring methods and probabilistic structural prediction models to estimate the fatigue life. Novel in your approach is that you will do this for an entire structure instead of a single detail.
Ample structural health monitoring systems exist that measure relevant data for fatigue deterioration, such as strain, acceleration, crack activity, or crack size. The same applies to structural prediction models. Which system and/or model is optimal depends on the structure. You will develop a framework that allows to estimate the structural reliability and the remaining fatigue life based on various possible combinations of systems and models, combining details and data of different type. Based on probabilistic theory, the framework should be able to select the most suited monitoring and model strategy for a specific bridge:
The framework that you build hence enables the optimised selection of sensor types and locations based on a prediction of the added value of each sensor on the structure. Your task requires a translation of loads on the structure to the response of the structure in term of strains or stresses, and a prediction of the deterioration rate. You will build a digital twin for this purpose.
This PhD position is within a wider project carried out by a consortium of different Dutch universities, aiming to develop a digital twinning methodology for macro steel structures. You will closely collaborate with the other researchers from the consortium, who will focus on other aspects of the digital twin.. You will also collaborate with other PhD students at Eindhoven University of Technology that work on fatigue and similar subjects.
You are experienced in the following four fields:
Further, you hold or have obtained:
You have a cooperative attitude. At the same time, you take responsibility for your own work.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video How about a PhD at TU/e? - YouTube.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Johan Maljaars, Full Professor, e-mail j.maljaars[at]tue.nl or +31 40 247 2162.
Visit our website for more information about the application process or the conditions of employment. You can also contact Scott Jacops, HR Advisor, e-mail s.m.m.c.b.jacops[at]tue.nl or +31 40 247 3161.
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We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.