压电材料在人工神经系统中的加工、理解与应用

M. Schulz, S. Chattopadhyay, M. Sundaresan, A. Ghoshal, W. N. Martin, P. R. Pratap
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引用次数: 2

摘要

压电材料为大型智能结构的设计打开了大门。为了探索建造实用智能结构的可能性,本文综述了压电活性材料的特点和加工方法。然后讨论了使用不同形式的压电材料用于传感器和执行器的优点和局限性。压电陶瓷传感器可以产生巨大影响的一个领域是结构状态监测。结构状态监测是指利用原位传感器对结构内部荷载和健康状况进行实时监测。这将使结构以最大的性能和效率运行,同时最大限度地减少疲劳损伤。为了在大型结构上实现这一目标,讨论了一种新的高度分布式传感器概念,其中使用压电陶瓷纤维和微电子元件来模拟生物神经系统。通过简化的仿真和实验,说明了该人工神经系统是如何测量结构损伤引起的动态应变和声发射的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Processing, Understanding, and Application of Piezoelectric Materials for an Artificial Neural System
Piezoelectric materials are opening the door for the design of large smart structures. To explore what possibilities there might be for building practical smart structures, a review of the characteristics and methods of processing piezoelectric active materials is given. The advantages and limitations of using the different forms of piezoelectric materials for sensors and actuators are then discussed. One area where piezoceramic sensors can have a large impact is structural condition monitoring. Structural condition monitoring refers to using in-situ sensors to monitor the internal loads and the health of a structure in real-time. This will allow a structure to be operated at its maximum performance and efficiency while minimizing the fatigue damage. To achieve this on a large structure, a new highly distributed sensor concept is discussed in which piezoceramic fibers and microelectronic components are used to mimic the biological nervous system. A simplified simulation and experiment are presented to show how this artificial neural system can measure dynamic strains and acoustic emissions caused by damage in structures.
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