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基于深度学习的地下损害定位使用全场表面应变

Ashish Pal1, Wei Meng1, Satish Nagarajaiah1,2

  • 1Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX 77005, USA.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

一个新的卷积神经网络 (CNN) 使用表面应变数据检测地下损伤 (SSD). 这种人工智能模型能够准确地识别和钢等材料的结构缺陷,从而及时修复并防止故障.

关键词:
应变感应智能皮肤 应变感应智能皮肤卷积神经网络是一种卷积神经网络.损害局部化 损害局部化整场的压力是全场的.非破坏性测试是指非破坏性测试.在地下造成的破坏.

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