The initial growth stage of a fatigue crack is affected by the microstructure and therefore is complicated to predict. You will use advanced computational models, combining crystal plasticity finite element models with cohesive zone models, to understand the microstructure role. You will conduct experiments for material parameter identification.
The central question for this PhD study is: Can we understand and model the role of the microstructure in microstructurally short fatigue crack growth in metals? Specifically, how do the characteristics of the microstructure (texture, morphology) influence the short crack growth? Can we model the transition between a microstructurally short crack and a physically small crack? Under which circumstances do fatigue cracks grow transgranular and/or intergranular (i.e., through grains or in between grains)? How does the microstructure influence the occurrence of crack arrest due to microstructural thresholds?
To answer these questions, you will enhance a crystal plasticity model previously developed in our group, with a cohesive zone model equipped with a fatigue damage formulation. The combined model should capture high-cycle fatigue crack growth in 3D microstructures. Fatigue tests for parameter identification will be conducted at our Structural Engineering and Design laboratory.
The knowledge that you develop is crucial for a safe prolonged use of cyclically loaded steel structures such as bridges or crane runways. As such, it helps in creating a sustainable future.
You will benefit from, and contribute to, the acknowledged forefront positions in fatigue life prediction our Steel Structures chair and in computational mechanics of our Applied Mechanics chair. You will use the experimental facilities of our structures lab.
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:
About us
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.
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Information
If you have questions about the content of the study, please contact the hiring manager Davide Leonetti, Assistant Professor, at d.leonetti@tue.nl. Do not send applications via email, instead use the "apply" button on this page. Applications sent via email will be ignored.
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Application
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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.