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Updated: Sep 11, 2025

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通过基于LSTM的深度学习实现的CFRP-FBG传感器增强RC光束的疲劳寿命预测

Minrui Jia1, Chenxia Zhou2, Xiaoyuan Pei2

  • 1Engineering Teaching Practice Training Center of Tiangong University, Tianjin 300072, China.

Polymers
|August 14, 2025
PubMed
概括

这项研究引入了长短期记忆 (LSTM) 网络,用于使用碳纤维增强聚合物纤维布拉格格 (CFRP-FBG) 传感器进行智能疲劳寿命评估. 该LSTM模型显著提高了结构健康监测的预测准确性和稳定性.

关键词:
在CFRP-FBG传感器上.LSTM神经网络是一个神经网络.深度学习是一种深度学习.疲劳寿命预测 疲劳寿命预测主要组件分析的主要组件分析

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