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一种深度学习方法,用于在纤维增强混凝土中自主识别压缩损伤,使用压电酸酸转换器

George M Sapidis1, Ioannis Kansizoglou2, Maria C Naoum1

  • 1Laboratory of Reinforced Concrete and Seismic Design of Structures, Structural Engineering Science Division, Civil Engineering Department, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
概括

本研究引入了一种使用1D卷积神经网络来检测电机阻抗 (EMI) 信号在混凝土结构中的裂的新方法. 该方法实现了可靠的结构健康监测 (SHM) 的高精度.

关键词:
1-D 美国有线电视新闻网具体损害的识别和确定.卷积神经网络 (CNN) 是一种神经网络.损害分类损害的分类.深度学习是一种深度学习.电机阻抗 (EMI) 是一种电机阻抗.纤维增强混凝土 (FRC) 的使用压电硫酸酸 (PZT) 是一种酸.结构性健康监测 (SHM) 是一种结构性健康监测.

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