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Characterising fatigue crack in an aluminium plate using guided elastic waves

机译:使用引导弹性波表征铝板的疲劳裂纹

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Integrity of in-service engineering structures is prone to fatigue damage over their lifespan. Majority of the currently existing elastic-wave-based damage identification techniques have been developed and validated for damage at macroscopic levels, by canvassing linear properties of elastic waves such as attenuation, transmission, reflection and mode conversion. However the real damage in engineering structures often initiates from fatigue crack, presenting highly nonlinear characteristics under cyclic loads. It is of great significance but vast challenge to detect fatigue damage of small dimension at its initial stage. In this study, traditional elastic-wave-based damage identification techniques were first employed with an attempt to detect fatigue crack initiated from a notch in an aluminium plate with the assistance of a signal correlation analysis, to observe the deficiency of the approach. Then the higher-order harmonic wave generation was used to exploit the nonlinear characteristics of acousto-ultrasonic waves (Lamb waves), whereby the fatigue damage was characterised. Results show that nonlinear characteristics of acousto-ultrasonic waves can facilitate more effective detection of fatigue damage than linear signal features such as wave reflection, transmission or mode conversion.
机译:在役工程结构的完整性在其使用寿命中容易受到疲劳破坏。通过探究弹性波的线性特性(例如衰减,透射,反射和模式转换),已经开发并验证了当前基于弹性波的大多数损伤识别技术,并已针对宏观水平的损伤进行了验证。但是,工程结构中的实际损坏通常是由疲劳裂纹引起的,在周期性载荷下呈现出高度非线性的特性。在初始阶段检测小尺寸疲劳损伤具有重要意义,但也面临巨大挑战。在这项研究中,首先采用传统的基于弹性波的损伤识别技术,试图借助信号相关分析来检测铝板缺口引起的疲劳裂纹,以观察该方法的不足。然后,利用高次谐波的产生来利用声-超声波(兰姆波)的非线性特性,从而表征疲劳损伤。结果表明,与波反射,透射或模式转换等线性信号特征相比,声-超声波的非线性特征可以更有效地检测疲劳损伤。

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