DOI QR코드

DOI QR Code

A Study on the Application Method of Mechanochromic Sensor for Crack Monitoring in Buildings

건축물 균열 모니터링을 위한 역학변색센서 활용 기법에 관한 연구

  • Choe, Gyeong-Chol (Department of Building Research, Korea Institute of Civil engineering and Building Technology) ;
  • Kim, Hong-Seop (Department of Building Research, Korea Institute of Civil engineering and Building Technology) ;
  • Jeon, Jun-Seo (Department of Geotechnical Engineering Research, Korea Institute of Civil engineering and Building Technology) ;
  • Lee, Mun-Hwan (Department of Building Research, Korea Institute of Civil engineering and Building Technology) ;
  • Pyeon, Su-Jeong (Department of Architectural Engineering, Chungnam National University) ;
  • Nam, Jeong-Soo (Department of Architectural Engineering, Chungnam National University)
  • Received : 2022.11.17
  • Accepted : 2022.12.14
  • Published : 2023.02.20

Abstract

In this study, an experimental study was conducted on the development of crack monitoring technology in buildings using a mechanochromic sensor. After attaching a mechanochromic sensor to the cracks induced in the concrete specimen, the color variation image of the sensor according to the progress of the cracks was taken. In addition, a method of analyzing a sensor color variation image was proposed, and an equation for deriving a crack's width from the relationship between the analysis result and the crack width was also proposed. In addition, the possibility of using an mechanochromic sensor for monitoring cracks in buildings was confirmed through the verification of crack width monitoring technology.

본 연구에서는 역학변색센서를 활용한 건축물의 균열 모니터링 기술 개발에 관한 실험적 연구를 수행하였다. 콘크리트 시험체에 유도된 균열에 역학변색센서를 부착한 후 균열의 진행에 따른 변색 이미지를 촬영하였다. 그리고 센서의 변색 이미지 분석 결과와 균열 폭과의 관계식으로부터 균열 폭 도출 식을 제안하였다. 또한, 제안된 균열 폭 모니터링 기법의 검증을 통하여 건축물 균열 모니터링을 위한 역학변색센서의 활용 가능성을 확인하였다.

Keywords

Acknowledgement

This work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport(Grant 21CTAP-C163910-01).

References

  1. Kim EJ, Cho SJ, Sim SH. A recent research summary on smart sensors for structural health monitoring. Journal of the Korea Institute for Structural Maintenance and Inspection. 2015 May;19(3):10-21. http://dx.doi.org/10.11112/jksmi.2015.19.3.010
  2. Heo GH, Lee WS, Kim MG. Structural health monitoring system employing smart sensor technology part 1: Development and performance test of smart sensor. Journal of the Korea Institute for Structural Maintenance and Inspection. 2007 Mar;11(2):134-44. https://doi.org/10.11112/JKSMI.2007.11.2.134
  3. Lee HS, Kim SK. Research trends of durability monitoring sensors for RC structures. Magazine of the Korea Concrete Institute. 2018 Jan;30(1):39-45. https://doi.org/10.4334/JKCI.2018.30.1.039
  4. Sim SH, Yoon HC, Kim EJ, Cho SJ. Infrastructure monitoring research using AI and sensing data. Magazine of the Korea Institure for Structural Maintenance and Inspection. 2022 Sep;26(3):13-9.
  5. Jo BW, Lee YS, Kim JH, Kim DK, Yoon KW. Development of Structure Dynamic Characteristics Analysis System Prototype using Image Processing Technique. The Journal of the Korea Contents Association. 2016 Mar;16(3):11-21. https://doi.org/10.5392/JKCA.2016.16.03.011
  6. Ryu DW, Park WJ. IT-based concrete technology. Magazine of the Korea Concrete Institute. 2015 Jan;27(1):31-5. https://doi.org/10.22636/MKCI.2015.27.1.31
  7. Kim JH, Shin YS, Min KW. Line laser image processing for automated crack detection of concrete structures. Journal of Computational Structural Engineering Institute of Korea. 2018 Jun;31(3):147-53. https://doi.org/10.7734/COSEIK.2018.31.3.147
  8. Cho HW, Yoon HJ, Park JJ. An experimental study on crack recognition characteristics of concrete structure based on image analysis according to illuminance and measurement distance. Journal of the Korean Society of Hazard Mitigation. 2014 Feb;14(1):85-91. https://doi.org/10.9798/KOSHAM.2014.14.1.85
  9. Bae GJ, Seo MS, Lee SJ, Bae DH, Lee MK. Colorimetric detection of mechanical deformation in metals using thin-film mechanochromic sensor. Advanced Materials Technologies. 2021 Jul;6(10):2100479. https://doi.org/10.1002/admt.202100479
  10. Bae GJ, Seo MS, Lee SJ, Bae DH, Lee MK. Angle-insensitive fabry-perot mechanochromic sensor for real-time structural health monitoring. Advanced Materials Technologies. 2021 Jun;6(8):2100118. https://doi.org/10.1002/admt.202100118
  11. Kim HS, Kim GY, Son MJ, Choe GC, Nam JS. Strain rate effects on the compressive and tensile behavior of bundle-type polyamide fiber-reinforced cementitious composites. Composites Part B: Engineering. 2019 Mar;160:50-65. https://doi.org/ 10.1016/j.compositesb.2018.10.008
  12. Kim HS, Kim GY, Gucunski N, Nam JS, Jeon JK. Assessment of flexural toughness and impact resistance of bundle-type polyamide fiber-reinforced concrete. Composites Part B: Engineering. 2015 Sep;78:431-46. https://doi.org/10.1016/j.compositesb.2015.04.011
  13. Pyeon SJ, Choe GC, Kim HS, Kim GY, Nam JS. An experimental study on the applicability of mechanochromic sensors for monitoring tensile strain of concrete materials. Journal of The Korea Institute of Building Construction. 2021 Dec;21(6):573-81. https://doi.org/10.5345/JKIBC.2021.21.6.573
  14. Kim JS, Jung GI, Lee TH, Choi JH, Oh HB, Kim AH, Jung HC, Jun JH. Detection of color information using optical method. The Transactions of the Korean Institute of Electrical Engineers. 2015 Jan;64(1):159-64. https://doi.org/10.5370/KIEE.2015.64.1.159
  15. Lee SK, Park YS, Lee GS, Lee JY, Lee SH. An automatic object extraction method using color features of object and background in image. Journal of Digital Convergence. 2013 Dec;11(12):459-65. http://dx.doi.org/10.14400/JDPM.2013.11.12.459