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Data-driven void growth prediction of aluminum under monotonic tension using deep learning

Author(s):





Medium: journal article
Language(s): English
Published in: Journal of Constructional Steel Research, , v. 222
Page(s): 109002
DOI: 10.1016/j.jcsr.2024.109002
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.jcsr.2024.109002.
  • About this
    data sheet
  • Reference-ID
    10799619
  • Published on:
    23/09/2024
  • Last updated on:
    23/09/2024
 
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