Smart Composite Damage Assessment System Based on the Neural Network,

Abstract

This article introduces a new type of composite material damage assessment system. The system in question is composed of embedded optical fiber sensor arrays, shape memory alloy wires, and Kohenen self-organizing neural network processors. Material damage detection is realized by embedded optical fiber sensor arrays. High speed neural network parallel distribution processors composed of TM5320C25 high speed parallel processors and IBM PC/386's carry out simulations, realizing sensor output signal real time processing. In conjunction with that, corresponding control signals are produced to actuate shape memory alloy (SMA) wires in order to change material stress configurations and delay material destruction. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Dec 04, 1995
Accession Number
ADA302927

Entities

People

  • Tao Baoqi
  • Tao Yungang

Organizations

  • National Air and Space Intelligence Center

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Alloys
  • Composite Materials
  • Damage
  • Damage Assessment
  • Damage Detection
  • Detection
  • Detectors
  • Fibers
  • Materials
  • Neural Networks
  • Optical Fibers
  • Parallel Processors
  • Shape Memory Alloys
  • Simulations

Readers

  • Parallel and Distributed Computing.
  • Reinforced Composite Materials
  • Robotics and Automation.

Technology Areas

  • AI & ML