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A Hybrid Framework for Characterizing and Benchmarking Fatigue S-N Curves in Aluminum Alloys by Integrating Empirical and Data-Driven Approaches
Article (Web of Science)
Early Access (Web of Science)
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cited authors
Esmaeili, Hamed; Avateffazeli, Maryam; Haghshenas, Meysam; Rizvi, Reza
publication date
October 14, 2024
webpage
Web of Science
published in
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
Journal
Research
category
MATERIALS SCIENCE, MULTIDISCIPLINARY
Category
keywords
aluminum alloy
data augmentation
fatigue
hybrid framework
machine learning
material characterization