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Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring

Author(s): ORCID (Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA)
ORCID (Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 5, v. 23
Page(s): 2963-2979
DOI: 10.1177/14759217231202547
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: 10.1177/14759217231202547.
  • About this
    data sheet
  • Reference-ID
    10761074
  • Published on:
    23/03/2024
  • Last updated on:
    20/09/2024
 
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