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首页> 外文期刊>Journal of Materials Science >Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis
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Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis

机译：用数字图像相关性和FEA分析评估碳纤维增强桉树/杨树复合胶合板的弯曲性能

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摘要

The failure of composite materials during bending is an issue that must be considered in the performance evaluation of structural materials. Strong-weak interlaminated composites are particularly prone to weak interfaces. In this study, the digital image correlation (DIC) method is used to detect the strain distribution of high-performance carbon fiber-reinforced eucalyptus/poplar composite plywood under three-point bending. Finite element analysis (FEA) method is used to numerically simulate the composite plywood of each reinforced structure, and failure evaluation in the bent state of plywood is carried out. Testing is then undertaken to determine that the FEA simulated value and the DIC measured value fit well. Besides, bending test verifies the failure mode predicted by FEA, which will be a very good prediction method for material failure.
机译：弯曲过程中复合材料的失效是在结构材料的性能评估中必须考虑的问题。 强弱弱的互连复合材料特别容易发生弱界面。 在该研究中，数字图像相关（DIC）方法用于检测三点弯曲下高性能碳纤维增强桉树/杨树复合胶合板的应变分布。 有限元分析（FEA）方法用于数值上模拟每个加强结构的复合胶合板，并进行胶合板弯曲状态的故障评估。 然后进行测试以确定FEA模拟值和DIC测量值适合。 此外，弯曲测试验证了FEA预测的故障模式，这将是一种非常好的材料故障预测方法。

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