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Curvature mode shape-based damage detection in composite laminated plates

机译：复合板中基于曲率模态的损伤检测

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There is a pressing need to develop effective techniques for structural health monitoring, so that the safety and integrity of the composite structures can be improved. The main objective of this study is to evaluate dynamics-based damage detection techniques for composite laminated plates using smart piezoelectric materials and modern instrumentation like scanning laser vibrometer (SLV). The study comprises of testing an E-glass/epoxy composite plate with an embedded delamination using two different actuator-sensor systems: (1) SLV with PZT (lead-zirconate-titanate) actuators (PZT-SLV), and (2) polyvinylidenefluoride (PVDF) sensors with PZT actuators (PZT-PVDF). The numerical finite element (FE) analysis is also performed to complement the damage detection. The experimental and numerical curvature mode shapes are primarily used to detect the presence, location, and size of the delamination. Three relatively new damage detection algorithms (i.e., simplified gapped smoothing method (GSM), generalized fractal dimension (GFD), and strain energy method (SEM)) are employed to analyze the experimental and numerical curvature mode shape data and uniform load surface (ULS) curvatures. From the damage detection outcomes, it is observed that the PZT-SLV system proves to be more convenient and effective, and it is capable of scanning a large number of points over the entire plate specimens; while the PZT-PVDF system, in which the curvature mode shapes are directly acquired, exhibits good sensitivity to damage. The damage detection algorithms like GSM, GFD and SEM based on the utilization of three consecutive mode curvatures (modes 3-5) and resulting ULS curvature successfully identify the presence, location, and relative size of delamination in the composite plate.
机译：迫切需要开发用于结构健康监测的有效技术，以便可以提高复合结构的安全性和完整性。这项研究的主要目的是评估使用智能压电材料和现代仪器（如扫描激光振动计（SLV））的复合层压板基于动力学的损伤检测技术。该研究包括使用两种不同的执行器-传感器系统测试带有嵌入式分层的E玻璃/环氧树脂复合板：（1）具有PZT（锆钛酸铅）执行器（PZT-SLV）的SLV，以及（2）聚偏二氟乙烯带PZT执行器（PZT-PVDF）的（PVDF）传感器。还进行了数值有限元（FE）分析，以补充损伤检测。实验和数值曲率模式形状主要用于检测分层的存在，位置和大小。三种相对较新的损伤检测算法（即，简化的间隙平滑方法（GSM），广义分形维数（GFD）和应变能方法（SEM））用于分析实验和数值曲率模式形状数据以及均匀载荷面（ULS） ）曲率。从损伤检测结果可以看出，PZT-SLV系统被证明更加方便和有效，并且能够扫描整个板状试样的大量点。而直接获取曲率模式形状的PZT-PVDF系统则具有良好的损伤敏感性。基于三个连续模式曲率（模式3-5）以及由此产生的ULS曲率的损伤检测算法（如GSM，GFD和SEM）成功地识别了复合板中分层的存在，位置和相对大小。

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