基于神经网络的智能复合材料损伤评估系统

Abstract

Abstract: A novel approach is introduced for composite damage assessment.The system consists of an embedded fiberoptic sensor array,Shape Memory Alloy(SMA)and Kohonen Self-Organizing Maps(SOM) neural network processor. The fiberoptic sensor array embedded in the com-posite structure can be used to detect the damages in the composite。The neural network is simu-lated by high speed Parallel Distributed Proeessing(PDP) which consists of TMS320C25 high speed processor and IBM PC/386 computer, deals with the output signals of sensors on time,and controls and actuates the shape memory alloy wires to change the strain state of the compo-site,So that,the damage of composite will be delayed。

Key words: neural nets, composites, damage assessment

CLC Number:

Tao Yungang;Tao Baoqi. SMART COMPOSITE DAMAGE ASSESSMENTSYSTEM BASED ONTHE NEURAL NETWORK[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1994, 15(10): 1274-1277.

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SMART COMPOSITE DAMAGE ASSESSMENTSYSTEM BASED ONTHE NEURAL NETWORK

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