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Non-Contact Strain-Sensing Smart Skin

机译:非接触式应变感测智能皮肤

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摘要

Structural health monitoring relies on routine inspection and maintenance to ensure safe operation and optimized service life of critical structures. Surface strain measurements can provide an important indicator of structural condition. Established strain sensor technologies, such as resistance strain gages and fiber Bragg grating (FBG) sensors, as well as some newer ones, [1-3] are all point-wise, unidirectional, and contact sensing methods that require physical connections in order to obtain strain readings. Some existing full-field non-contact optical methods have also been developed, such as interferometric techniques, [4] non-interferometric techniques, [5-7] and Raman spectroscopy. [8] The interferometric techniques usually require a model of actual structure, plus tedious calculations to separate the values of principal stresses, and expensive equipment. The limitation of non-interferometric techniques lies in the requirements for a random gray intensity distribution or speckle pattern distribution and heavy dependence on the quality of the imaging system. Over the past twenty years, Raman spectroscopy has also been investigated for strain sensing applications by many researchers. [8-12] However, Raman-based strain sensing methods are hampered by the low intensity of Raman scattering signals. A more promising approach for non-contact strain sensing technology uses carbon nanotube fluorescence.
机译:结构健康监测依赖于常规检查和维护,以确保安全运行和优化的关键结构使用寿命。表面应变测量可以提供结构状况的重要指标。建立的应变传感器技术,例如电阻应变计和光纤布拉格光栅(FBG)传感器以及一些更新的传感器,[1-3]是所有点亮的,单向和接触感测方法,需要物理连接以便获得应变读数。还开发了一些现有的全场非接触光学方法,例如干涉测量技术,[4]非干涉测量技术,[5-7]和拉曼光谱。 [8]干涉式技术通常需要实际结构的模型,加上繁琐的计算,以分离主应力和昂贵的设备。非干涉测量技术的限制在于随机灰色强度分布或散斑图案分布的要求和对成像系统的质量的重大依赖性。在过去的二十年中,许多研究人员还研究了拉曼光谱分辨率的菌株传感应用。 [8-12]然而,基于拉曼的应变感测方法被拉曼散射信号的低强度受到阻碍。一种更有前途的非接触应变传感技术方法使用碳纳米管荧光。

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