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Rapid Multi-Damage Identification for Health Monitoring of Laminated Composites Using Piezoelectric Wafer Sensor Arrays

机译:使用压电晶片传感器阵列的多层复合材料健康状况快速多损伤识别

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摘要

Through the use of the wave reflection from any damage in a structure, a Hilbert spectral analysis-based rapid multi-damage identification (HSA-RMDI) technique with piezoelectric wafer sensor arrays (PWSA) is developed to monitor and identify the presence, location and severity of damage in carbon fiber composite structures. The capability of the rapid multi-damage identification technique to extract and estimate hidden significant information from the collected data and to provide a high-resolution energy-time spectrum can be employed to successfully interpret the Lamb waves interactions with single/multiple damage. Nevertheless, to accomplish the precise positioning and effective quantification of multiple damage in a composite structure, two functional metrics from the RMDI technique are proposed and used in damage identification, which are the energy density metric and the energy time-phase shift metric. In the designed damage experimental tests, invisible damage to the naked eyes, especially delaminations, were detected in the leftward propagating waves as well as in the selected sensor responses, where the time-phase shift spectra could locate the multiple damage whereas the energy density spectra were used to quantify the multiple damage. The increasing damage was shown to follow a linear trend calculated by the RMDI technique. All damage cases considered showed completely the developed RMDI technique potential as an effective online damage inspection and assessment tool.
机译:通过使用来自结构中任何损坏的波反射,开发了基于希尔伯特频谱分析的具有压电晶片传感器阵列(PWSA)的快速多损伤识别(HSA-RMDI)技术,以监视和识别存在,位置和位置。碳纤维复合材料结构破坏的严重性。快速多损伤识别技术从收集的数据中提取和估计隐藏的重要信息并提供高分辨率的能量-时间谱的能力可用于成功地解释具有单次/多次损伤的兰姆波相互作用。然而,为了实现复合结构中多重损伤的精确定位和有效量化,提出了来自RMDI技术的两个功能量度,并将其用于损伤识别中,即能量密度量度和能量时相位移量度。在设计的损伤实验测试中,在向左传播的波中以及在选定的传感器响应中检测到肉眼看不见的损伤,尤其是分层,在此情况下,时相位移谱可以定位多个损伤,而能量密度谱被用来量化多重伤害。损害的增加显示出遵循通过RMDI技术计算的线性趋势。所考虑的所有损坏案例都充分展示了开发的RMDI技术潜力,可以作为有效的在线损坏检查和评估工具。

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