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Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance

Author(s):



Medium: journal article
Language(s): English
Published in: Engineering Structures, , v. 259
Page(s): 114176
DOI: 10.1016/j.engstruct.2022.114176
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.engstruct.2022.114176.
  • About this
    data sheet
  • Reference-ID
    10662907
  • Published on:
    09/05/2022
  • Last updated on:
    09/05/2022
 
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