埋入压电元件的自诊断智能结构的理论分析与实验研究  

Theoretical Analysis and Experimental Research on the Self diagnostic Smart Structure with Embedded Piezoelectric Elements

作　　者：石立华[1,2] 陶宝祺[1,2] 

机构地区：[1]南京工程兵工程学院科研所 [2]南京航空航天大学智能材料与结构研究所

出　　处：《实验力学》1998年第3期370-376,共7页Journal of Experimental Mechanics

摘　　要：将压电元件埋设于复合材料层板结构中，可实现结构应变分布的在线监测。本文提出一种采用压电应变传感器阵列和人工神经网络模型的自诊断方法，对局部埋入压电应变传感元件的平板结构进行了分析，采用神经网络模型根据压电传感器组的输出识别结构承载位置和大小，对该方法进行了数值模拟和实验验证。It is known that by using the piezoelectric sensors embedded in laminated composites, the strain distribution of a composite structure can be monitored during its working. In this paper, a self-diagnosis system, which employs an embedded piezoelectric sensor arrays and an artificial neural network model, is presented. A plate structure with such a system for identifying the location and magnitude of external loads is analyzed, and justified by experiments.

关 键 词：压电材料 应变 载荷 神经网络 智能结构 

分 类 号：TM22[一般工业技术—材料科学与工程]