arXiv:2503.10073cs.LG2025-03被引 4

用深度学习模拟碳纳米管纸对复合材料力学性能的影响。

Impact of buckypaper on the mechanical properties and failure modes of composites

  • 构建LSTM深度学习模型,预测含碳纳米管纸复合板的力学响应。
  • 双层碳纳米管纸使弯曲强度和模量提升,优于原始样品。
  • 适合研究复合材料失效机制与新型增强结构设计者阅读。

近期,碳纳米管膜(即碳纳米管纸,BP)被引入复合层合板中,相比纳米管掺杂树脂,可实现更高的碳纳米管重量分数,带来更高压阻性(适用于健康监测)和更强的机械性能(适用于结构应用)。然而,其对复合材料变形与失效机制的影响尚不明确。实验研究需考虑多重设计参数,如BP几何形状与位置、材料各向异性及层合顺序等。本文提出一种基于深度学习(DL)的代理模型,用于分析含碳纳米管纸夹层的混合碳纤维增强聚合物(CFRP)复合层合板在多种载荷下的力学响应。该模型采用长短期记忆(LSTM)架构,在深度学习框架内训练,并通过有限元分析(FEA)获取数据进行训练,通过自研实验数据进行交叉验证。模型预测结果与FEA模拟和实验数据高度一致,显示含两层BP的CFRP样品相较原样表现出更高的弯曲强度与弹性模量,这归因于碳纳米管在层间区域优异的裂纹抑制能力。

原文摘要 · Abstract (English)

Recently, there has been an interest in the incorporation of buckypaper (BP), or carbon nanotube (CNT) membranes, in composite laminates. Research has shown that using BP in contrast to nanotube doped resin enables the introduction of a higher CNT weight fraction which offers multiple benefits including higher piezo resistivity for health monitoring applications and enhanced mechanical response for structural applications. However, their impact on the deformation and failure mechanisms of composite laminates has not been investigated thoroughly. Understanding these issues experimentally would require a carefully executed test plan involving a multitude of design parameters such as BP geometry and placement, material anisotropy and variability, and laminate stacking sequence. This paper presents a deep learning (DL)-based surrogate model for studying the mechanical response of hybrid carbon fiber reinforced polymer (CFRP) composite laminates with BP interleaves under various mechanical loads. The surrogate model utilizes a long short-term memory architecture implemented within a DL framework and predicts the laminate global response for a given configuration, geometry, and loading condition. The DL framework training and cross-validation are performed via data acquisition from a series of three-point bend tests conducted through finite element analysis (FEA) and in-house experiments, respectively. The model predictions show good agreement with FEA simulations and experimental results, where CFRP with two BP interleaves showed enhanced flexural strength and modulus over pristine samples. This enhancement can be attributed to the excellent crack retardation capabilities of CNTs, particularly in the interlaminar region.

复合材料碳纳米管深度学习力学性能

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