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Structural diagnostics of CFRP composite aircraft components by ultrasonic guided waves and built-in piezoelectric transducers.

机译:CFRP复合飞机部件的结构诊断,包括超声波导波和内置压电传感器。

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To monitor in-flight damage and reduce life-cycle costs associated with CFRP composite aircraft, an autonomous built-in structural health monitoring (SHM) system is preferred over conventional maintenance routines and schedules. This thesis investigates the use of ultrasonic guided waves and piezoelectric transducers for the identification and localization of damage/defects occurring within critical components of CFRP composite aircraft wings, mainly the wing skin-to-spar joints.; The guided wave approach for structural diagnostics was demonstrated by the dual application of active and passive monitoring techniques. For active interrogation, the guided wave propagation problem was initially studied numerically by a semi-analytical finite element method, which accounts for viscoelastic damping, in order to identify ideal mode-frequency combinations sensitive to damage occurring within CFRP bonded joints. Active guided wave tests across three representative wing skin-to-spar joints at ambient temperature were then conducted using attached Macro Fiber Composite (MFC) transducers. Results from these experiments demonstrate the importance of intelligent feature extraction for improving sensitivity to damage.; To address the widely neglected effects of temperature on guided wave base damage identification, analytical and experimental analyses were performed to characterize the influence of temperature on guided wave signal features. In addition, statistically-robust detection of simulated damage in a CFRP bonded joint was successfully achieved under changing temperature conditions through a dimensionally-low, multivariate statistical outlier analysis.; The response of piezoceramic patches and MFC transducers to ultrasonic Rayleigh and Lamb wave fields was analytically derived and experimentally validated. This theory is useful for designing sensors which possess optimal sensitivity toward a given mode-frequency combination or for predicting the frequency dependent directivity patterns in a transducer's response. Based upon this theory, a novel approach was developed for passive damage and impact location in anisotropic or geometrically complex systems. The detection and location of simulated "active" damage or impacts was experimentally demonstrated on a scaled CFRP honeycomb sandwich wing skin using this technique.
机译:为了监视飞行中的损坏并减少与CFRP复合材料飞机相关的生命周期成本,与传统的维护程序和时间表相比,首选内置式结构健康状况自动监测(SHM)系统。本文研究了超声导波和压电换能器在CFRP复合材料飞机机翼关键部件(主要是机翼至翼梁关节)内关键部件内部损伤/缺陷的识别和定位的研究。主动和被动监控技术的双重应用证明了用于结构诊断的导波方法。对于主动询问,最初通过半解析有限元方法对导波传播问题进行了数值研究,该方法考虑了粘弹性阻尼,以便确定对CFRP粘结节点内发生的损伤敏感的理想模频组合。然后,使用附加的宏纤维复合材料(MFC)换能器在环境温度下跨三个代表性的机翼皮肤至翼梁的关节进行主动导波测试。这些实验的结果证明了智能特征提取对于提高损伤敏感性的重要性。为了解决温度对导波基损伤识别的广泛忽略的影响,进行了分析和实验分析以表征温度对导波信号特征的影响。此外,通过变化低的多维多元统计异常值分析,可以在变化的温度条件下成功实现对CFRP粘结接头中模拟损伤的统计稳健检测。压电陶瓷贴片和MFC换能器对超声瑞利和兰姆波场的响应是分析性推导和实验验证。该理论可用于设计对给定的模式-频率组合具有最佳灵敏度的传感器,或者用于预测换能器响应中频率相关的方向性图。基于该理论,开发了一种新颖的方法来解决各向异性或几何复杂系统中的被动损伤和冲击定位问题。使用此技术在比例缩放的CFRP蜂窝状三明治机翼蒙皮上实验证明了模拟“主动”损坏或撞击的检测和位置。

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