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Neural potentials and micro-signals of non-linear deep and shallow conical shells

机译：非线性深和浅圆锥壳的神经电势和微信号

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Conventional sensors, such as proximeters and accelerometers, are add-on devices usually adding additional weights to structures and machines. Health monitoring of flexible structures by electroactive smart materials has been investigated over the years. Thin-film piezoelectric material, e.g. polyvinylidene fluoride (PVDF) polymeric material, is a lightweight and dynamic sensitive material appearing to be a perfect candidate in monitoring structure's dynamic state and health status of flexible shell structures with complex geometries. The complexity of shell structures has thwarted the progress in studying the distributed sensing of shell structures. Linear distributed sensing of various structures have been studied, e.g. beams, plates, cylindrical shells, conical shells, spherical shells, paraboloidal shells and toroidal shells. However, distributed microscopic neural signals of non-linear shell structures has not been carried out rigorously. This study is to evaluate microscopic signals, modal voltages and distributed micro-neural signal components of truncated non-linear conical shells laminated with distributed infinitesimal piezoelectric neurons. Signal generation of distributed neuron sensors laminated on conical shells is defined first. The dynamic neural signal of truncated non-linear conical shells consists of microscopic linear and non-linear membrane components and linear bending component based on the von Karman geometric non-linearity. Micro-signals, modal voltages and distributed neural signal components of two different truncated non-linear conical shells are investigated and their sensitivities discussed.
机译：传统的传感器（例如，近程传感器和加速度计）是附加设备，通常会给结构和机器增加额外的重量。多年来，已经研究了通过电活性智能材料对柔性结构进行健康监控。薄膜压电材料，例如聚偏二氟乙烯（PVDF）聚合材料是一种轻质且动态敏感的材料，似乎是监测具有复杂几何形状的柔性壳结构的结构动态状态和健康状况的理想选择。壳结构的复杂性阻碍了壳结构的分布式传感研究的进展。已经研究了各种结构的线性分布感测，例如。梁，板，圆柱壳，圆锥壳，球形壳，抛物面壳和环形壳。但是，尚未严格执行非线性壳结构的分布式微观神经信号。这项研究是要评估与无限的压电神经元层压的截断的非线性圆锥壳的微观信号，模态电压和分布的微神经信号成分。首先定义分布在圆锥形外壳上的分布式神经元传感器的信号生成。截断的非线性圆锥壳的动态神经信号由微观线性和非线性膜成分以及基于von Karman几何非线性的线性弯曲成分组成。研究了两个截短的非线性圆锥壳的微信号，模态电压和分布式神经信号分量，并讨论了它们的灵敏度。

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