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Monitoring Fatigue Crack Growth in Narrow Structural Components using Lamb Wave Technique

机译:用兰姆波技术监测狭窄结构部件的疲劳裂纹扩展

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Fatigue is a progressive and localised damage that occurs when a material is subjected to cyclic loading. Historical cases have shown that undetected fatigue cracks often lead to catastrophic failure, including loss of lives and assets. It is therefore important to have a robust Structural Health Monitoring (SHM) technique to detect and monitor these cracks. The Lamb Wave technique for SHM is promising due to its ability to interrogate a large area of the structure from only a few locations. The feasibility of fatigue crack detection in wide specimens, where the effect of boundary reflections is not significant in the signal processing and damage quantification process, have been investigated by other researchers7"9. However, in a narrow structural component, the boundary reflection has a significant role in the sensor signal and the damage quantifier from available literatures cannot be applied readily. The main focus of this study is to investigate the feasibility of monitoring fatigue crack growth in a narrow structural component using the Lamb Wave technique. Experimental study conducted on lab-sized aluminum beam finds that as crack propagates amplitude of the sensor signal decreases. A damage index is proposed, and a linear relationship between the damage index and the crack length is identified. With the proposed damage index, a crack length can be estimated from the acquired sensor signals through a correlation factor.
机译:疲劳是在材料承受循环载荷时发生的渐进性和局部性损伤。历史案例表明,未发现的疲劳裂纹通常会导致灾难性故障,包括人员伤亡和财产损失。因此,重要的是要拥有强大的结构健康监测(SHM)技术来检测和监测这些裂缝。用于SHM的Lamb Wave技术前景光明,因为它能够从几个位置询问结构的大面积区域。其他研究人员已经研究了在宽样本中进行疲劳裂纹检测的可行性,其中边界反射的影响在信号处理和损伤量化过程中并不显着[7]。但是,在狭窄的结构部件中,边界反射具有传感器信号中的重要作用和现有文献中的损伤量化器无法轻易应用,本研究的主要重点是研究使用兰姆波技术在狭窄结构部件中监测疲劳裂纹扩展的可行性。尺寸的铝梁发现,随着裂纹的传播,传感器信号的幅度减小,提出了一种损伤指数,并确定了损伤指数与裂纹长度之间的线性关系,利用该损伤指数可以估算出裂纹长度通过相关因子获取的传感器信号。

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