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Structural Health Monitoring of Anisotropic Layered Composite Plates Using Guided Ultrasonic Lamb Wave Data

机译:使用引导超声羔羊波数据的各向异性分层复合板的结构健康监测

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Layered composite plate-like structures are finding an increasing range of applications in the aerospace industry. Structural Health Monitoring (SHM) of such structures is seen as a paradigm that will embrace efficient non-destructive testing/evaluation techniques. The present study demonstrates the possibility of SHM using algebraic reconstruction techniques (ART) for tomographic imaging with Lamb wave data measured in realistic materials. Commercially available narrow bandwidth PZT crystals with the center frequency at 1.0 MHz were used as sensors on 5 mm thick 300 × 300 mm layered quasi-isotropic and cross-ply composite plates with and without defects. Defects (through holes) were synthetic and have been chosen to simulate high velocity impact damage in composite plates. The problem of Lamb wave mode identification to implement ART in anisotropic composite materials has been circumvented through the identification and use of a fairly general new wave energy-based reconstruction parameter. To achieve reasonable image quality, conventional cross-hole configuration is replaced by a new modified cross-hole configuration that also optimizes the number of sensors.
机译:层状复合板状结构在航空航天工业中寻找增加的应用范围。这种结构的结构健康监测(SHM)被视为一种范式,将拥抱有效的无损检测/评估技术。本研究展示了SHM使用代数重建技术(ART)用于与现实材料中测量的羊波数据的断层图像成像的可能性。在1.0MHz下的市售窄带宽PZT晶体,用作5mm厚的300×300mm层状准分子和交叉层复合板的5mm厚的300mm厚的传感器。合成缺陷(通孔),已选择在复合板上模拟高速冲击损坏。通过识别和使用相当通用的基于波能量的重建参数,通过识别和使用基于新的波能量的重建参数来规避羊波模式识别以实现各向异性复合材料的艺术的问题。为了实现合理的图像质量,传统的交叉孔配置由新的修改的交叉孔配置代替,该配置也优化传感器的数量。

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