Analysis of Natural Frequencies for Early Damage Detection in CFRP Shafts using RSM-Based Frequency Contour Plots

Eser Yarar
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Abstract

This study explores early damage detection in carbon fiber-reinforced polymer shafts by analyzing natural frequencies. Modern engineering components often face increased flexibility and high stress levels, leading to cracks in rotating parts, which can result in premature failures. To address this issue, modal analysis, specifically natural frequency analysis, is employed to identify deviations caused by cracks. Cracks alter stiffness and mass distribution, leading to shifts in natural frequencies. The study employs finite element models to simulate various crack locations and depths, normalizing them with respect to shaft diameter and length. A cantilever shaft configuration is utilized with refined mesh structures near the transverse crack. The analysis leverages the frequency contour method with response surface methodology to visualize how crack depth and location influence normalized natural frequencies. Results indicate that crack depth has a significant impact on natural frequencies, while crack location has a subtler effect. Combining depth and location produces the most pronounced frequency variations. The study also demonstrates the use of frequency contour curves for accurate crack detection, with the 1st and 3rd natural frequencies being reliable indicators.
利用基于 RSM 的频率等值线图分析 CFRP 轴的固有频率以进行早期损伤检测
本研究通过分析自然频率,探索碳纤维增强聚合物轴的早期损坏检测。现代工程部件往往面临着更大的灵活性和更高的应力水平,从而导致旋转部件出现裂纹,进而过早出现故障。为解决这一问题,我们采用了模态分析,特别是固有频率分析,来识别裂纹造成的偏差。裂纹会改变刚度和质量分布,导致固有频率偏移。研究采用有限元模型模拟各种裂纹位置和深度,并根据轴的直径和长度对其进行归一化处理。在横向裂缝附近采用了悬臂轴配置和细化网格结构。分析利用频率等值线方法和响应面方法,直观显示裂纹深度和位置对归一化固有频率的影响。结果表明,裂纹深度对固有频率的影响很大,而裂纹位置的影响较小。结合深度和位置可产生最明显的频率变化。该研究还证明了频率等值线曲线可用于准确检测裂纹,其中第 1 和第 3 自然频率是可靠的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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