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Material State Awareness for Composites Part II: Precursor Damage Analysis and Quantification of Degraded Material Properties Using Quantitative Ultrasonic Image Correlation (QUIC)

机译:复合材料的材料状态感知第二部分:前体损伤分析和使用定量超声图像相关(QUIC)量化降解材料的性能

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摘要

Material state awareness of composites using conventional Nondestructive Evaluation (NDE) method is limited by finding the size and the locations of the cracks and the delamination in a composite structure. To aid the progressive failure models using the slow growth criteria, the awareness of the precursor damage state and quantification of the degraded material properties is necessary, which is challenging using the current NDE methods. To quantify the material state, a new offline NDE method is reported herein. The new method named Quantitative Ultrasonic Image Correlation (QUIC) is devised, where the concept of microcontinuum mechanics is hybrid with the experimentally measured Ultrasonic wave parameters. This unique combination resulted in a parameter called Nonlocal Damage Entropy for the precursor awareness. High frequency (more than 25 MHz) scanning acoustic microscopy is employed for the proposed QUIC. Eight woven carbon-fiber-reinforced-plastic composite specimens were tested under fatigue up to 70% of their remaining useful life. During the first 30% of the life, the proposed nonlocal damage entropy is plotted to demonstrate the degradation of the material properties via awareness of the precursor damage state. Visual proofs for the precursor damage states are provided with the digital images obtained from the micro-optical microscopy, the scanning acoustic microscopy and the scanning electron microscopy.
机译:通过发现复合结构中裂缝的大小和位置以及分层,限制了使用常规无损评估(NDE)方法对复合材料的材料状态感知。为了使用缓慢的增长标准来帮助进行性失效模型,必须了解前驱体的损坏状态并量化退化的材料性能,这对于使用当前的NDE方法是具有挑战性的。为了量化材料状态,本文报道了一种新的离线NDE方法。设计了一种称为定量超声图像相关性(QUIC)的新方法,其中微连续谱力学的概念与实验测量的超声参数混合在一起。这种独特的组合产生了一个称为“非局部损伤熵”的参数,用于前兆感知。拟议的QUIC采用了高频(大于25 MHz)扫描声学显微镜。对八个编织的碳纤维增强塑料复合材料样品进行了高达其剩余使用寿命70%的疲劳测试。在寿命的前30%中,绘制了拟议的非局部损伤熵,以通过了解前体损伤状态来证明材料性能的下降。从微光学显微镜,扫描声显微镜和扫描电子显微镜获得的数字图像提供了前体损伤状态的视觉证据。

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