Predicting the degree of rubber rupture damage using a GAN-enhanced Bayesian-optimized 1DCNN network

Auteur(s):	Yi Zeng (MOE Key Laboratory of Deep Earth Science and Engineering, College of Architecture and Environment, Sichuan University, Chengdu, China) Chubing Deng (MOE Key Laboratory of Deep Earth Science and Engineering, College of Architecture and Environment, Sichuan University, Chengdu, China) Feng Xiong (MOE Key Laboratory of Deep Earth Science and Engineering, College of Architecture and Environment, Sichuan University, Chengdu, China) Hong Liu (Chengdu Fourth Construction Engineering of CDCEG, Chengdu, China) Xiongfei Li (Chengdu Fourth Construction Engineering of CDCEG, Chengdu, China) Ye Liu (MOE Key Laboratory of Deep Earth Science and Engineering, College of Architecture and Environment, Sichuan University, Chengdu, China)
Médium:	article de revue
Langue(s):	anglais
Publié dans:	Structural Health Monitoring
DOI:	10.1177/14759217241279095

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1177/14759217241279095.

Publicité

Structurae coopère avec

Publicité