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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SDG 7 Affordable and Clean Energy
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SDG 14 Life Below Water
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Collaborations and top research areas from the last five years
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Holi-DOCTOR
Leonetti, D. (Project Manager), Snijder, H. H. (Project member) & Li, M. (Project member)
1/11/22 → 31/10/27
Project: Second 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) & Barroso Paiva Gonçalves Verdade, M. (Project member)
1/04/21 → 1/12/26
Project: Third 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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A pilot study on the interface fatigue strength of WAAM to substrate structural steel
Leonetti, D. (Corresponding author) & Heydarinouri, H., Jun 2026, In: Progress in Engineering Science. 3, 2, 8 p., 100311.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Downloads (Pure) -
Crack path under non-proportional fatigue loading: Evaluating tests with existing crack growth direction criteria
Hengeveld, S. T. (Corresponding author), Leonetti, D., Snijder, H. H. & Maljaars, J., Feb 2026, In: Theoretical and Applied Fracture Mechanics. 141, Part A., 21 p., 105069.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)122 Downloads (Pure) -
Deep learning-based aeroacoustic identification of trailing-edge cracks in wind turbine blades
Li, M. (Corresponding author), Leonetti, D., Donatella Zappalá, D. & Snijder, H. H., 28 May 2026, In: Journal of Physics: Conference Series. 3224, 11 p., 062036.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile12 Downloads (Pure) -
Effect of cyclic hygrothermal aging on fatigue performance of cracked steel plates repaired with adhesively bonded steel patches
Wang, X., Leonetti, D., Xu, F. (Corresponding author), Zhou, L. & Miao, C., Jul 2026, In: Structures. 89, 13 p., 112276.Research output: Contribution to journal › Article › Academic › peer-review
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Impact of Monitoring Strategies on the Reliability of a Fatigue-Critical Detail in Steel Bridges
Zancato, E. (Corresponding author), Leonetti, D., Martinez Colán, A. & Maljaars, J., Dec 2026, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 12, 4, 12 p., 04026074.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure)
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
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Data for: Infrared-Based Damage Detection in Thick Composites via Transfer Learning on Simulated and Experimental Data
Li, M. (Creator), Leonetti, D. (Creator), Donatella Zappalá, D. (Creator) & Snijder, H. H. (Creator), Mendeley Data, 3 Oct 2025
DOI: 10.17632/xjf5cmkjm3
Dataset
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Cracks in Steel Bridges (CSB) dataset: data underlying the publication: Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
Kompanets, A. (Creator), Leonetti, D. (Creator), Duits, R. (Creator) & Snijder, B. (Creator), 4TU.Centre for Research Data, 30 Sept 2024
DOI: 10.4121/6162a9b6-2a20-4600-8207-e9dcd53a264a.v2
Dataset
Courses
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Advanced steel and aluminum structures
Snijder, H. H., van Hove, B. W. E. M., Hofmeyer, H., Maljaars, J. & Leonetti, D. 1/09/26 → 31/08/27
Course
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Advanced steel and aluminum structures
Snijder, H. H., van Hove, B. W. E. M., Hofmeyer, H., Maljaars, J. & Leonetti, D. 1/09/15 → 31/08/27
Course
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Experimental research of structures and materials
Leonetti, D. & Lucas, S. S. 1/09/24 → 31/08/27
Course
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Project 1 Structural Engineering & Design
Leonetti, D., Bertram, G., van Schie, F., Van den Hurk, B. & Elbasdi, G. 1/09/24 → 31/08/27
Course