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Impact Damage Identification in Glass Fiber/Epoxy Laminates with Carbon Black Filler via Electrical Impedance Tomography

机译:通过电阻抗层析成像技术鉴定含碳黑填料的玻璃纤维/环氧层压板的冲击损伤

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Electrically conductive nanocomposites have incredible potential for integrated structural damage identification when employed as matrices in structural fiber-reinforced composites. That is, because nanocomposites could consist of well-connected nanofiller networks with conductivity, matrix damage that severs the nanofiller network will manifest as a conductivity loss. Locating damage-induced conductivity losses is therefore tantamount to locating damage. In this regard, well-dispersed nanofiller networks can be thought of as pervasive and integrated sensor networks. This research explores this approach by utilizing electrical impedance tomography (EIT) to locate impact damage of a glass fiber/epoxy laminate plate manufactured with carbon black (CB) filler. It is found that EIT can successfully locate impact damage thereby demonstrating the potential of conductivity-based damage identification in structural composites with nanocomposite matrices.
机译:当在结构纤维增强复合材料中用作基质时,导电纳米复合材料具有潜在的综合结构损伤识别潜力。也就是说,由于纳米复合材料可能由具有良好电导率的良好连接的纳米填料网络组成,贯穿纳米填料网络的基质破坏将表现为电导率损失。因此,定位损坏引起的电导率损耗等于定位损坏。在这方面,可以将分散良好的纳米填料网络视为普遍的集成传感器网络。这项研究通过利用电阻抗断层扫描(EIT)来定位由炭黑(CB)填料制成的玻璃纤维/环氧层压板的冲击损伤,从而探索了这种方法。发现EIT可以成功地定位冲击损伤,从而证明了在具有纳米复合材料的结构复合材料中基于电导率的损伤识别的潜力。

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