Skip to main navigation Skip to search Skip to main content

Estimation of mode I quasi-static fracture of notched aluminum–lithium AW2099-T83 alloy using local approaches and machine learning

  • Muhammed Al Helal
  • , Abullateef Almutairi
  • , Sulaiman Almudayris
  • , Usman Ali
  • , Jafar Albinmousa*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Fingerprint

Dive into the research topics of 'Estimation of mode I quasi-static fracture of notched aluminum–lithium AW2099-T83 alloy using local approaches and machine learning'. Together they form a unique fingerprint.
Sort by

Engineering

Material Science