Glass fibre reinforced polymer composites are extensively used as an advanced engineering material, particularly in aviation industries because of its superior properties. Unlike metals, damage and failure of the composites are complicated to predict under real-time loading due to its anisotropic nature. With that focus, reduced Graphene Oxide (rGO) based Structural Health Monitoring for polymer composite is proposed in this work. The prioritised aim of this study is to measure the strain induced and the degree of damage accumulated in the composites. To achieve this, the rGO coated glass fibres are embedded into polymer composite to evaluate the strain and damage induced in the composites by measuring the fractional change in the piezoresistance of the coated fibre. The piezoresistive response of the coated fibres showed linear variation under low (elastic) deformation. However, under high (plastic) deformation, the piezoresistance varied nonlinearly with an irregular stepped increment. This nonlinear stepped increment is marked due to the initiation and propagation microcracks in the polymer composites. The damage accumulation in the composite is predicted by measuring the deviation of piezoresistance from the elastic response line using statistical analysis. A statistical correlation is established between the damage accumulation and the experimentally calculated residual strength. The electromechanical study on the rGO coated glass fibres suggested as potential applications for the strain and damage monitoring of composite materials.

玻璃纤维增​​强的聚合物复合材料由于其优越的性能而被广泛用作先进的工程材料，特别是在航空工业中。与金属不同，由于其各向异性，复合材料的损坏和破坏在实时载荷下很难预测。着眼于此，在这项工作中提出了基于还原氧化石墨烯（rGO）的聚合物复合材料结构健康监测方法。这项研究的首要目的是测量复合材料中引起的应变和累积的损伤程度。为此，将rGO涂层玻璃纤维嵌入聚合物复合材料中，以通过测量涂层纤维的压阻变化率来评估复合材料中引起的应变和损伤。涂层纤维的压阻响应在低（弹性）变形下显示线性变化。但是，在高（塑性）变形下，压阻非线性地变化，并具有不规则的阶跃增量。由于聚合物复合材料中的引发和扩展微裂纹，该非线性阶梯式增量是明显的。通过使用统计分析测量压阻与弹性响应线的偏差来预测复合材料中的损伤累积。在损伤累积和实验计算的残余强度之间建立统计相关性。在rGO涂层玻璃纤维上进行的机电研究表明，该材料可潜在地用于复合材料的应变和损伤监测。压阻非线性地变化，并具有不规则的步进增量。由于聚合物复合材料中的引发和扩展微裂纹，该非线性阶梯式增量是明显的。通过使用统计分析测量压阻与弹性响应线的偏差来预测复合材料中的损伤累积。在损伤累积和实验计算的残余强度之间建立统计相关性。在rGO涂层玻璃纤维上进行的机电研究表明，该材料可潜在地用于复合材料的应变和损伤监测。压阻非线性地变化，并具有不规则的步进增量。由于聚合物复合材料中的引发和扩展微裂纹，该非线性阶梯式增量是明显的。通过使用统计分析测量压阻与弹性响应线的偏差来预测复合材料中的损伤累积。在损伤累积和实验计算的残余强度之间建立统计相关性。在rGO涂层玻璃纤维上进行的机电研究表明，该材料可潜在地用于复合材料的应变和损伤监测。通过使用统计分析测量压阻与弹性响应线的偏差来预测复合材料中的损伤累积。在损伤累积和实验计算的残余强度之间建立统计相关性。在rGO涂层玻璃纤维上进行的机电研究表明，该材料可潜在地用于复合材料的应变和损伤监测。通过使用统计分析测量压阻与弹性响应线的偏差来预测复合材料中的损伤累积。在损伤累积和实验计算的残余强度之间建立统计相关性。在rGO涂层玻璃纤维上进行的机电研究表明，该材料可潜在地用于复合材料的应变和损伤监测。