Journal of Aerospace System Engineering (항공우주시스템공학회지)

The Society for Aerospace System Engineering (항공우주시스템공학회)
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Impact localization on a composite plate using multiplexed FBG sensors and error-outlier algorithm

다중화된 FBG 센서와 error-outlier 알고리즘을 이용한 복합재 평판에 대한 충격위치탐지

  • Park, Sung Yong (Department of Mechanical Engineering, Hankyong National University) ;
  • Kim, Sang-Woo (Department of Mechanical Engineering, Hankyong National University) ;
  • Park, Sangyoon (Polymer Research Lab, Research & Development Division, Hyundai Motor)
  • 박성용 (국립한경대학교 기계공학과) ;
  • 김상우 (국립한경대학교 기계공학과) ;
  • 박상윤 (현대자동차 연구개발본부 고분자재료리서치랩)
  • Received : 2018.09.03
  • Accepted : 2018.10.29
  • Published : 2018.12.31
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Abstract

An impact localization for a carbon fiber reinforced plastic (CFRP) composite plate was performed using the multiplexed fiber bragg grating (FBG) sensors and the error-outlier based impact localization algorithm. We found that the optimal impact localization with the maximum error of 31.82 mm and the averaged error of 6.31 mm are obtained when the error threshold (ET) and constant level (CL) are 0.3 nm and 110, respectively. Moreover, the detailed process of impact localization under certain optimal parameters and the relevant results were thoroughly investigated. We conclude that the multiplexed FBG sensors and the error-outlier based impact localization algorithm are suitable for an impact localization on composite structures, and expect that they can be utilized for various structural health monitoring (SHM) in the future.

본 연구에서는 error-outlier 기반의 충격위치탐지 알고리즘과 다중화된 FBG 센서를 이용하여 탄소섬유 강화 플라스틱 복합재 평판 구조물에 대한 충격위치탐지를 수행하였다. 알고리즘의 주요 변수인 오차 임계값(ET)이 0.3 nm, 상수 수준(CL)이 110일 때 최적의 충격위치탐지 결과(최대 오차= 31.82 mm, 평균 오차= 6.31 mm)가 도출되었다. 또한 주어진 최적의 변수 조건에서의 충격위치탐지 과정과 결과를 상세히 분석하였다. 본 연구에서 제시된 다중화된 FBG 센서와 error-outlier 기반의 충격탐지 알고리즘은 복합재 구조물에 대한 충격탐지에 적합한 것으로 판단되며, 향후 다양한 구조 건전성 감시에 활용될 것으로 기대된다.

Keywords

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Fig. 1 Flowchart of error-outlier based impact localization algorithm [7-9]

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Fig. 2 Location of arbitrary impact points and installed FBG sensors

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Fig. 3 Averaged errors with respect to ET and CL

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Fig. 4 Outliers and the estimated impact points for IP2 (ET= 0 nm, CL= 10)

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Fig. 5 Results of impact localization estimated from multiplexed FBG sensors (ET=0.3nm, CL=110)

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Fig. 6 Outliers and the selected reference points for IP6 (ET=0.3, CL=110)

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Fig. 7 Outliers and the estimated impact points for IP2 (ET= 0.3 nm, CL= 110)

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Fig. 8 Outliers and the estimated impact points for IP3 (ET= 0.3 nm, CL= 110)

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Fig. 9 Outliers and the estimated impact points for IP4 (ET= 0.3 nm, CL= 110)

Table 1 Arbitrary impact points for impact localization

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Table 2 Errors of impact localization estimated from multiplexed FBG sensors (ET=0.3 nm, CL=110)

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Table 3 Selection and deletion of reference numbers in an error-outlier algorithm (ET=0.3 nm, CL=110)

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