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Field
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that the nature of the inner structures changes in response to external structures emerging and strengthening as the Reynolds number increases. Thus, this provides strong motivation for modelling the effects
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knowledge gaps. The project involves both linear and nonlinear dynamics modelling and analysis, as well as experimental testing. An equivalent test structure will first be constructed in the vibration
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assessment, demonstrating the impact of advanced process control on FGMs · Possible collaboration with ongoing research, including validation of numerical models, reduction of residual stresses through thermal
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
-relevant research, Cranfield offers the ideal environment for addressing complex, real-world problems such as automated damage assessment in advanced composite structures. Cranfield provides access
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team from various backgrounds with a large knowledge base. We conduct research on Li-Ion batteries ranging from material development, structural analysis with x-ray techniques, to digital modeling and
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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based on physical principles to identify the optimal dimensions maximizing coupling efficiency. The research activity will involve a theoretical study of advanced optomechanical structures to understand
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computational facilities. The powerful computational facilities enable us to develop advanced numerical models. The Department of Engineering Structures focuses on the development of resilient, smart and
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for pavement lifetime prediction, primarily in Dutch conditions. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data
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, contains: The VUB Acoustics and Vibrations Research group has a core focus on wind energy as a member of OWI-lab. Our vision is to bring methodological advancements all the way to application in industry