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Davide Leonetti is an Assistant Professor in the field of steel structures and structural health monitoring at the Eindhoven University of Technology. His research focuses on the mechanical performance of steel structures, covering essential topics such as residual life estimation, fatigue, strength assessment, structural reliability, and damage detection. He studies the application of both traditional and innovative materials in civil infrastructures, including bridges, wind turbines, and rails, through a combination of experimental testing, numerical models, and analytical assessment. Additionally, Davide is an active member of the Eindhoven Artificial Intelligence Systems Institute (EAISI) and contributes to the 'AI-enabled Manufacturing Maintenance' (AIMM) lab, focusing on inspection, damage identification, and maintenance of steel structures using artificial intelligence. He graduated from Federico II University of Naples in Mechanical Engineering, where he defended a thesis on the strength analysis of a railway switch maneuvering system for high-speed tracks. He obtained his PhD under the supervision of Professors J. Maljaars and H.H. Snijder, aiming to develop a probabilistic model for evaluating the fatigue strength of welded and bolted steel connections. This research is crucial for proposing sets of partial factors to prevent fatigue failure in steel bridges.
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