Deep hybrid neural network-aided electromechanical impedance method for automated damage detection of lining concrete under freeze-thaw cycling

Auteur(s):	Chuan Zhang (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Qixiang Yan (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Xiaolong Liao (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Yunhui Qiu (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Yifeng Zhang (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Ping Wang (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China)
Médium:	article de revue
Langue(s):	anglais
Publié dans:	Structural Health Monitoring
DOI:	10.1177/14759217241259955

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