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Damage Detection of Plate Using Long Continuous Sensor and Wave Propagation

연속형 센서와 웨이브 전파를 이용한 판 구조물의 손상감지

  • 이종원 (남서울대학교 건축공학과)
  • Published : 2010.03.20

Abstract

A method for damage detection in a plate structure is presented based on strain waves that are generated by impact or damage in the structure. Strain responses from continuous sensors, which are long ribbon-like sensors made from piezoceramic fibers or other materials, were used with a neural network technique to estimate the damage location. The continuous sensor uses only a small number of channels of data acquisition and can cover large areas of the structure. A grid type structural neural system composed of the continuous sensors was developed for effective damage localization in a plate structure. The ratios of maximum strains and arrival times of the maximum strains obtained from the continuous sensors were used as input data to a neural network. Simulated damage localizations on a plate were carried out and the identified damage locations agreed reasonably well with the exact damage locations.

Keywords

References

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