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)

International Collaboration

cited authors

  • Esmaeili, Hamed; Avateffazeli, Maryam; Haghshenas, Meysam; Rizvi, Reza

publication date

  • October 14, 2024

webpage

published in

category

keywords

  • aluminum alloy
  • data augmentation
  • fatigue
  • hybrid framework
  • machine learning
  • material characterization

start page

  • 44

end page

  • 59

volume

  • 48

issue

  • 1