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使用卷积神经网络预测复合结构损伤的新方法

Laurent Mezeix1, Ainhoa Soldevila Rivas2, Antonin Relandeau2

  • 1Faculty of Engineering, Burapha University, 169 Long-Hard Bangsaen Road, Chonburi 20131, Thailand.

Materials (Basel, Switzerland)
|November 25, 2023
PubMed
概括

人工智能,特别是深度学习,可以预测纤维增强聚合物 (FRP) 复合材料的冲击损伤. 一个聚合卷积神经网络 (CNN) 模型显示了加速高精度复合设计的巨大潜力.

关键词:
卷积神经网络 (CNN) 是一种神经网络.用碳纤维增强的聚合物聚合物.这是一个复合材料.影响力影响力影响力影响力冲击损伤的影响损伤.

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Method of Superposition01:20

Method of Superposition

The method of superposition is a crucial technique in structural engineering, used to analyze the effect of multiple loads on beams. This approach involves calculating the deflection and slope for each load on a beam separately, and then summing these effects to determine the overall impact. It is applicable only when the beam material remains within its elastic limit, ensuring that deformations are linearly elastic.
When applying the method of superposition, each type of load—whether...
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