传感器增强的厚层复合体梁:制造,测试和数值分析
Mustafa Basaran1,2, Halit Suleyman Turkmen3, Mehmet Yildiz4
1Department of Material Science and Engineering, Ayazaga Campus, Istanbul Technical University, Maslak 34469, Istanbul, Türkiye.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
这项研究开发了用于汽车叶弹的超厚复合体梁,集成了纤维支架格子 (FBG) 传感器用于结构健康监测和验证非线性有限元素模型.
科学领域:
- 材料科学与工程 材料科学与工程
- 机械工程 机械工程
- 结构健康监测 结构健康监测
背景情况:
- 开发用于汽车应用的高性能聚合物矩阵复合材料 (PMC) 叶弹需要了解超厚复合材料梁的行为.
- 在复合材料制造过程中监测内部应变和外热反应对于质量控制至关重要.
研究的目的:
- 研究超厚PMC光束的制造,测试和分析.
- 开发和验证一个非线性有限元素 (FE) 模型,用于预测这些光束的大偏斜行为.
- 探索纤维支格 (FBG) 传感器在复合结构中用于结构健康监测 (SHM) 的应用.
主要方法:
- 制造超厚层压 PMC 梁.
- 集成纤维支格 (FBG) 传感器和热电偶 (TCs) 进行现场监控.
- 静态三点曲试验,以使用张力计 (SG) 确定校准系数 (CC).
- 开发一个几何非线性FE模型 (GNA) 来分析大偏差 (LD) 效应.
- 使用FBG传感器进行疲劳测试,用于SHM在三点曲下.
主要成果:
- 一个经过验证的FE模型准确地预测了超厚复合体梁的变形行为和内部应变分布.
- FBG 传感器数据与 FE 分析和 SG 测量有很好的相关性.
- 随着位移范围的增加,疲劳性能显著下降,突出显示了SHM的重要性.
- FBG传感器显示了复合材料中增强SHM的潜力.
结论:
- 使用先进的监测和建模技术,可以制造和分析超厚复合体梁.
- 开发的非线性FE模型为复合梁的大偏斜行为提供了有价值的见解.
- FBG传感器为结构健康监测和复合结构的智能维护提供了有希望的方法,特别是在疲劳负荷下.
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