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Crack Detection in Fibre Reinforced Plastic Structures Using Embedded Fibre Bragg Grating Sensors: Theory Model Development and Experimental Validation

机译:使用嵌入式光纤布拉格光栅传感器检测纤维增强塑料结构中的裂纹:理论模型开发和实验验证

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摘要

In a fibre-reinforced polymer (FRP) structure designed using the emerging damage tolerance and structural health monitoring philosophy, sensors and models that describe crack propagation will enable a structure to operate despite the presence of damage by fully exploiting the material’s mechanical properties. When applying this concept to different structures, sensor systems and damage types, a combination of damage mechanics, monitoring technology, and modelling is required. The primary objective of this article is to demonstrate such a combination. This article is divided in three main topics: the damage mechanism (delamination of FRP), the structural health monitoring technology (fibre Bragg gratings to detect delamination), and the finite element method model of the structure that incorporates these concepts into a final and integrated damage-monitoring concept. A novel method for assessing a crack growth/damage event in fibre-reinforced polymer or structural adhesive-bonded structures using embedded fibre Bragg grating (FBG) sensors is presented by combining conventional measured parameters, such as wavelength shift, with parameters associated with measurement errors, typically ignored by the end-user. Conjointly, a novel model for sensor output prediction (virtual sensor) was developed using this FBG sensor crack monitoring concept and implemented in a finite element method code. The monitoring method was demonstrated and validated using glass fibre double cantilever beam specimens instrumented with an array of FBG sensors embedded in the material and tested using an experimental fracture procedure. The digital image correlation technique was used to validate the model prediction by correlating the specific sensor response caused by the crack with the developed model.
机译:在采用新兴的损伤容限和结构健康监测理念设计的纤维增强聚合物(FRP)结构中,描述裂纹扩展的传感器和模型将通过充分利用材料的机械性能,使结构在存在损坏的情况下也能正常运行。当将此概念应用于不同的结构,传感器系统和损伤类型时,需要将损伤力学,监测技术和建模结合起来。本文的主要目的是演示这种组合。本文分为三个主要主题:损伤机理(FRP分层),结构健康监测技术(用于检测分层的纤维布拉格光栅)以及将这些概念纳入最终并整合的结构的有限元方法模型。损害监控概念。通过结合常规测量参数(例如波长偏移)和与测量误差相关的参数,提出了一种使用嵌入式光纤布拉格光栅(FBG)传感器评估纤维增强聚合物或结构粘合结构中裂纹扩展/损坏事件的新颖方法。 ,通常被最终用户忽略。结合起来,使用此FBG传感器裂纹监测概念开发了一种用于传感器输出预测(虚拟传感器)的新型模型,并以有限元方法代码实现了该模型。使用玻璃纤维双悬臂梁试样进行了演示和验证,该试样装有嵌入材料中的FBG传感器阵列,并使用实验性断裂程序进行了测试。通过将由裂纹引起的特定传感器响应与开发的模型相关联,使用数字图像相关技术来验证模型预测。

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