Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance
Published 2022 View Full Article
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Title
Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance
Authors
Keywords
Electromechanical admittance (EMA), PZT transducer, Two-dimensional convolutional neural network, Compressive stress, Damage identification, Concrete structure
Journal
ENGINEERING STRUCTURES
Volume 259, Issue -, Pages 114176
Publisher
Elsevier BV
Online
2022-03-25
DOI
10.1016/j.engstruct.2022.114176
References
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