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Damage quantification using attenuation based signal processing for health monitoring in carbon fiber composites

机译:使用基于衰减的信号处理对碳纤维复合材料的健康状况进行危害量化

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Carbon-fiber composites will increasingly be used in next generation air transportation vehicles. Therefore, it is critical to develop state awareness models that can accurately capture the damage states and predict remaining useful life based on current and future loading conditions. In the current research, a structural health monitoring (SHM) and prognosis framework is being developed for heterogeneous material systems. The objective of this paper is to present some of the experimental components of this work. In the experiments preformed, the use of a pitch catch method using piezoelectric transducers for both the actuator and sensor were employed for collecting information on the damage status. The focus of this work is to quantify damage within the sample by relating parameters in the sensor signal to damage intensity. Good correlation has been observed in several tests between damage level and wave attenuation. These results are confirmed using off-the-shelf NDE techniques.
机译:碳纤维复合材料将越来越多地用于下一代航空运输工具中。因此,至关重要的是要开发状态感知模型,该模型可以准确地捕获损坏状态并根据当前和将来的负载条件预测剩余使用寿命。在当前的研究中,正在为异质材料系统开发结构健康监测(SHM)和预后框架。本文的目的是介绍这项工作的一些实验组成部分。在预先进行的实验中,使用螺距捕捉方法将压电换能器同时用于致动器和传感器,以收集有关损坏状态的信息。这项工作的重点是通过将传感器信号中的参数与损伤强度相关联来量化样品中的损伤。在几种测试中,在损伤水平和波衰减之间观察到良好的相关性。使用现成的NDE技术可以证实这些结果。

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