Projects per year
Personal profile
Research profile
Davide Leonetti is an assistant professor in steel structures and structural health monitoring at Eindhoven University of Technology. His research focuses on the mechanical performance of steel structures, covering topics such as residual life estimation (fatigue), strength assessment, structural reliability, and damage detection. The topics mentioned above are applied to structural connections (welded and bolted), additively manufactured metals, and traditional and innovative materials and find application in several civil infrastructures (bridges, wind turbines, rails, etc...) through a combination of experimental testing, numerical models, and analytical assessment. Davide is an active member of the Eindhoven Artificial Intelligence and Systems Institute (EAISI) where he is a member of the “AI-enabled Manufacturing and Maintenance” (AIMM) lab focussing on inspection, damage identification, and maintenance of steel structures and using AI.
Academic background
He graduated from Federico II University of Naples in Mechanical Engineering defending a Thesis about a Strength analysis of a railway switch maneuvering system for high-speed tracks up to 400km/h, awarded by CIFI (Italian Board of Railway Engineers) in 2016.
Davide obtained his PhD under the supervision of Prof.Dr. J. Maljaars and Prof. H.H. Snijder. His research focused on developing a probabilistic model for evaluating the fatigue strength of welded and bolted steel connections. The aim of the research was to put forward a set of partial factors for fatigue failure of steel bridges.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 3 Active
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Holi-DOCTOR
Leonetti, D. (Project Manager), Snijder, H. H. (Project member) & Li, M. (Project member)
1/11/22 → 31/12/26
Project: Second tier
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Fatigue crack growth of squat defects in rails
Leonetti, D. (Project Manager), Snijder, H. H. (Project member), Hengeveld, S. (Project member), Maljaars, J. (Project member) & Lamers, H. M. (Project member)
1/07/21 → 30/09/26
Project: Third tier
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Assessment method for the (remaining) fatigue life of steel bridges with weld imperfections
Maljaars, J. (Project Manager), Leonetti, D. (Project member), Khan, D. (Project member) & Goto, D. (Project member)
1/04/21 → 30/04/26
Project: Third tier
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A probabilistic model for rapid determination of endurance limit applied to flax-fiber polyester composite
Shahmirzaloo, A., Leonetti, D., Moonen, F. & Blok, R., Jun 2025, In: Progress in Engineering Science. 2, 2, 100088.Research output: Contribution to journal › Article › Academic › peer-review
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Experimental investigation on the fatigue and fracture toughness properties of hypereutectoid rail steel
Schotsman, B. (Corresponding author), Mattos Ferreira, V., Leonetti, D., Petrov, R. H., Santofimia, M. J. & Sietsma, J., 23 Jan 2025, In: Engineering Fracture Mechanics. 313, 16 p., 110657.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Downloads (Pure) -
Fatigue of rib-to-deck joints repaired by adhesively bonded patches: Tests and models
Wang, X. (Corresponding author-nrf), Leonetti, D., Maljaars, J., Miao, C. & Snijder, H. H., May 2025, In: Journal of Constructional Steel Research. 228, 16 p., 109441.Research output: Contribution to journal › Article › Academic › peer-review
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Loss function inversion for improved crack segmentation in steel bridges using a CNN framework
Kompanets, A. (Corresponding author), Duits, R., Pai, G., Leonetti, D. & Snijder, H. H., Feb 2025, In: Automation in Construction. 170, 26 p., 105896.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile34 Downloads (Pure) -
Visual Crack Detection in Steel Structures with Convolutional Neural Networks
Kompanets, A., Leonetti, D. & Snijder, H. H., 2025, In: Procedia Structural Integrity. 66, p. 388-395 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access
Datasets
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Cracks in Steel Bridges (CSB) dataset: data underlying the publication: Loss function inversion for improved crack segmentation in steel bridges using a CNN framework
Kompanets, A. (Creator), Leonetti, D. (Creator), Duits, R. (Creator) & Snijder, H. H. (Creator), Eindhoven University of Technology, 16 Apr 2024
DOI: 10.4121/6162a9b6-2a20-4600-8207-e9dcd53a264a.v3
Dataset