Patra Subir, Banerjee Sourav
Integrated Material Assessment and Predictive Simulation Laboratory, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA.
Materials (Basel). 2017 Dec 18;10(12):1444. doi: 10.3390/ma10121444.
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.
使用传统无损评估(NDE)方法对复合材料的材料状态进行认知,受限于在复合材料结构中查找裂纹和分层的尺寸及位置。为辅助使用缓慢增长准则的渐进失效模型,了解先兆损伤状态并量化材料性能的退化是必要的,而使用当前的无损检测方法实现这一点具有挑战性。为了量化材料状态,本文报道了一种新的离线无损检测方法。设计了一种名为定量超声图像相关性(QUIC)的新方法,其中将微观连续介质力学的概念与实验测量的超声波参数相结合。这种独特的结合产生了一个用于先兆认知的参数,即非局部损伤熵。所提出的QUIC采用高频(超过25MHz)扫描声学显微镜。对八个编织碳纤维增强塑料复合材料试样进行了疲劳测试,直至其剩余使用寿命的70%。在使用寿命的前30%期间,绘制所提出的非局部损伤熵,以通过了解先兆损伤状态来展示材料性能的退化。通过从微观光学显微镜、扫描声学显微镜和扫描电子显微镜获得的数字图像,提供了先兆损伤状态的直观证据。