28 Jul 2026
Machine Learning-Based Framework for Predicting Fatigue Crack Growth in 2024 T351 Aluminum Alloy with Grain Boundary EffectsPublisher siteJournal of Materials Engineering and Performance, Fatigue and fracture mechanics
Active, last published 2026
In fatigue and fracture mechanics
Taoufik
Nasri
Scholar“Research focused on Fatigue and fracture mechanics and adjacent fields.”
University of Kairouan
Tunisia
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01 · About the work
What I study
aoufik Nasri is a researcher working on Fatigue and fracture mechanics. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Taoufik's work has been cited 2 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Fatigue and fracture mechanics×3Metallurgy and Material Forming×2
04 · Where I am
Affiliations
Affiliation on published researchNational Engineering School of Tunis, TunisiaDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
2 works1 Jan 2025
FaDeep: Fatigue Life Prediction of an Aluminum Alloy 2024 T351 Using Machine LearningPublisher siteLecture notes in mechanical engineering, Fatigue and fracture mechanics
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