Evaluation of conductive smart composite polymeric materials for potential applicationsin structural health monitoring and strain detection

Olalla Sanchez-Sobrado, Daniel Rodriguez, Ricardo Losada, Elena Rodriguez
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Abstract

The presented work collects results from the evaluation of electrical response to mechanical deformation and formation of defects presented by different polymeric based composite materials with potential for applications in Structural Health Monitoring and Strain Detection. With the aim of showing the variety of key materials in sectors like civil aviation, wind energy, automotive or railway that present this ability, specimens of very different nature have been analyzed: a) thermoplastic commercial 3D printing filaments loaded with carbonic fillers; b) epoxy resin loaded with Carbon Nanotubes and c) long carbon fiber reinforced resin composite. Measurements of electrical properties of these materials were taken to evaluate their capability to detect the presence of structural defects of different sizes as well as its spatial location. On the other hand, simultaneous measurements of electrical resistivity and mechanical strain during tensile tests were performed to analyze the potential of materials as strain detectors. All composites studied have shown a positive response (modification of electrical performance) to external mechanical stimulus: induced damage and deformations.

Graphical Abstract

导电智能复合聚合物材料在结构健康监测和应变检测中的潜在应用评估
本文收集了不同聚合物基复合材料对机械变形和缺陷形成的电响应的评估结果,这些结果在结构健康监测和应变检测中具有潜在的应用前景。为了展示民航、风能、汽车或铁路等领域的各种关键材料,分析了性质非常不同的样品:a)热塑性商业3D打印长丝加载碳填料;b)负载碳纳米管的环氧树脂和c)长碳纤维增强树脂复合材料。测量了这些材料的电性能,以评估它们检测不同尺寸的结构缺陷及其空间位置的能力。另一方面,在拉伸试验中同时测量电阻率和机械应变,以分析材料作为应变检测器的潜力。所有研究的复合材料都显示出对外部机械刺激的积极响应(电性能的改变):引起的损伤和变形。图形抽象
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