0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Damage detection and classification of carbon fiber-reinforced polymer composite materials based on acoustic emission and convolutional recurrent neural network

Author(s): ORCID (College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, China)
(School of Energy and Power Engineering, Guangdong University of Petrochemical Technology, Maoming, China)
(College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, China)
(College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, China)
(Department of Electronic Engineering, Tsinghua University, Beijing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241270883
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: 10.1177/14759217241270883.
  • About this
    data sheet
  • Reference-ID
    10797501
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine