航空学报 > 1994, Vol. 15 Issue (10): 1274-1277

基于神经网络的智能复合材料损伤评估系统

陶云刚, 陶宝祺   

  1. 南京航空航天大学测试工程系,南京,210016
  • 收稿日期:1993-03-29 修回日期:1993-08-30 出版日期:1994-10-25 发布日期:1994-10-25

SMART COMPOSITE DAMAGE ASSESSMENTSYSTEM BASED ONTHE NEURAL NETWORK

Tao Yungang, Tao Baoqi   

  1. Department of Test Engineering, Nanjing UniVersity of Aerorautics and Astronautics,Nanjing,210016
  • Received:1993-03-29 Revised:1993-08-30 Online:1994-10-25 Published:1994-10-25

摘要: 介绍了一种复合材料损伤评估的新系统。该系统由埋入光纤传感器阵列、形状记忆合金丝和K ohonen 自组织神经网络处理器组成。由埋入光纤传感器阵列实现对材料损伤的检测,神经网络由TMS320C25 高速并行处理器和IBMPC/386组成的高速并行分布处理器进行模拟,实现传感器输出信号的实时处理,并产生相应的控制信号激励形状记忆合金丝(SMA),以改变材料的应力状态,延缓材料的破坏。

关键词: 神经网, 复合材料, 破坏程度评估

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

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