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Deep learning-based analysis to identify fluid-structure interaction effects during the response of blast-loaded plates

Author(s): ORCID (Dipartimento di Meccanica, Politecnico di Milano, Milano, Italy)
(Department of Structural Engineering, Structural Impact Laboratory (SIMLab), Trondheim, Norway)
(Dipartimento di Meccanica, Politecnico di Milano, Milano, Italy)
(Dipartimento di Meccanica, Politecnico di Milano, Milano, Italy)
(Department of Structural Engineering, Structural Impact Laboratory (SIMLab), Trondheim, Norway)
Medium: journal article
Language(s): English
Published in: International Journal of Protective Structures, , n. 4, v. 15
Page(s): 722-752
DOI: 10.1177/20414196231198259
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: 10.1177/20414196231198259.
  • About this
    data sheet
  • Reference-ID
    10735074
  • Published on:
    03/09/2023
  • Last updated on:
    10/11/2024
 
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