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应用响应表面校正的有限元模型和贝叶斯神经网络来预测福特公路桥在强风下的动态响应

Yan Liu1, Xiaolin Meng1, Liangliang Hu1

  • 1The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)
|April 13, 2024
PubMed
概括

本研究比较贝叶斯神经网络 (BNN) 和有限元模型 (FEM) 在风下监测桥梁结构健康状况. BNN模型提供更快,更准确的位移预测,而FEM则为大跨度结构提供更好的解释性.

关键词:
数字双胞胎数字双胞胎是什么意思预测流离失所的预测大跨度桥梁结构的大跨度桥梁结构.强烈的风吹来了强大的风.结构健康监测 结构健康监测

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