Journal of the Korean Geotechnical Society (한국지반공학회논문집)

Korean Geotechnical Society (한국지반공학회)
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Evaluation of Cavity Characterization Using Infrared Thermal Images

적외선 이미지를 이용한 지하공동 평가

  • Jang, Byeong-Su (Dept. of Disaster Safety Engrg., Daejeon Univ.) ;
  • Kim, Young-Seok (Northern Infrastructure Specialized Team, Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Se-Won (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Choi, Hyun-Jun (Northern Infrastructure Specialized Team, Korea Institute of Civil Engineering and Building Technology) ;
  • Yoon, Hyung-Koo (Dept. of Disaster Safety Engrg., Daejeon Univ.)
  • 장병수 (대전대학교 재난안전공학과 ) ;
  • 김영석 (한국건설기술연구원 북방인프라특화팀 ) ;
  • 김세원 (한국건설기술연구원 지반연구본부) ;
  • 최현준 (한국건설기술연구원 북방인프라특화팀 ) ;
  • 윤형구 (대전대학교 재난안전공학과)
  • Received : 2023.07.07
  • Accepted : 2023.07.21
  • Published : 2023.07.31
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Abstract

Cavity causes settlement and its remediation after an accident results in significant time and economic losses. This study aims to experimentally evaluate the prospect of using infrared camera to detect and measure underground subsidence. Emissivity is necessary to detect the energy emitted from an object and accurately assess temperature using an infrared camera. The emissivity in laboratory tests is fixed to evaluate a reasonable distance between the infrared camera and the object, and temperature values are assessed at various distances. In field experiments, the cavity of the field experiment is simulated using a PVC pipe with a diameter of 5 cm, artificially buried at depths of 5 and 25 cm from the surface. The infrared camera measurements are taken from 4 PM to 3 PM of the next day (a total of 23 h). The analysis included the time-series temperature distribution and the cooling rate index assessment, which represents the temperature change rate per unit of time. The results showed that various temperature trends are observed depending on the location of the subsidence. This study demonstrates that the infrared camera can be used to assess the condition of the subsurface.

지반의 공동은 지반 침하를 야기하고 사고 발생 후에는 이를 보수하기 위해서도 많은 시간적및 경제적 손실이 발생한다. 본 연구에서는 적외선 카메라를 새로운 계측 수단으로 활용하여 지하 공동의 탐지 가능성을 실험적으로 평가하고자 하였다. 적외선 카메라로 정확한 온도를 평가하기 위해서는 물체에서 방출하는 에너지를 탐지해야 하며 이때 방사율 값이 필수적으로 이용된다. 현장 실험 시 적외선 카메라와 물체의 합리적인 거리를 평가하기 위하여 방사율을 고정하고 거리 변화에 따른 온도 값을 평가하였다. 이를 통해 현장 실험 조건을 구성하였다. 현장 실험의 동공은 5cm 직경의 PVC pipe 관으로 모사하였으며, 지표를 기준으로 5cm와 25cm에 인위적으로 매설하였다. 적외선 카메라는 오후 4시부터 다음날 오후 3시까지(총 23시간) 측정하였으며, 온도의 시계열 분포뿐만 아니라 단위 시간당 변화량인 cooling rate index 방법을 통해서도 분석하였다. 분석결과는 공동 위치에 따라 온도 변화 추세가 상이하게 나타났으며, 이를 통해 적외선 카메라로 지반 내부의 상태를 평가할 수 있는 가능성을 보여준다.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부의 한국연구재단(NRF-2020R1A2C2012113)과 국토교통부 국토 교통과학기술진흥원 북극권 자원에너지 개발 기초(선행)기술의 "북극권 에너지자원 플랜트 계획 및 개념설계 선행기술 연구(과제번호: RS-2018-KA146546)사업의 지원으로 수행 되었으며 이에 감사드립니다.

References

  1. Abdel-Hardy, M. (1970, February), Subsurface drainage mapping by airborne infrared imagery techniques, In Proceedings of the Oklahoma Academy of Science, 10-18.
  2. Avdelidis, N. P. and Moropoulou, A. (2003), Emissivity Considerations in Building Thermography, Energy and Buildings, Vol.35, No.7, pp.663-667. https://doi.org/10.1016/S0378-7788(02)00210-4
  3. Bae, Y. S., Kim, K. T., and Lee, S. Y. (2017), The Road Subsidence Status and Safety Improvement Plans, Journal of the Korea Academia-Industrial cooperation Society, Vol.18, No.1, pp.545-552. https://doi.org/10.5762/KAIS.2017.18.1.545
  4. Cho, N. J., Cha, W., and Kim, H. K. (2016), Non-destructive Detection of Underground Cavities Using Thermal Images, Electron. J. Geotech. Eng, Vol.21, No.16, pp.5465-5476.
  5. Du, Y., Zhang, X., Li, F., and Sun, L. (2017), Detection of Crack Growth in Asphalt Pavement through Use of Infrared Imaging, Transportation Research Record, Vol.2645, No.1, pp.24-31. https://doi.org/10.3141/2645-03
  6. Go, G. H. and Lee, S. J. (2021), A Study on Numerical Analysis for GPR Signal Characterization of Tunnel Lining Cavities, Journal of the Korean Geotechnical Society, Vol.37, No.10, pp.65-76. https://doi.org/10.7843/KGS.2021.37.10.65
  7. Hong, W. T., Kang, S., and Lee, J. S. (2015), Application of Ground Penetrating Radar for Estimation of Loose Layer, Journal of the Korean Geotechnical Society, Vol.31, No.11, pp.41-48. https://doi.org/10.7843/kgs.2015.31.11.41
  8. Janku, M., Cikrle, P., Grosek, J., Anton, O., and Stryk, J. (2019), Comparison of Infrared Thermography, Ground-penetrating Radar and Ultrasonic Pulse Echo for Detecting Delaminations in Concrete Bridges, Construction and Building Materials, 225, pp.1098-1111. https://doi.org/10.1016/j.conbuildmat.2019.07.320
  9. Kalhor, D., Ebrahimi, S., Tokime, R. B., Mamoudan, F. A., Belanger, Y., Mercier, A., and Maldague, X. (2021), Cavity Detection in Steel-pipe Culverts Uing Infrared Thermography, Applied Sciences, Vol.11, No.9, 4051.
  10. Kwak, T. Y., Chung, C. K., Kim, J., Lee, M., and Woo, S. I. (2019), Experimental Assessment for the Effect of Burial Depth on the Formation of Underground Cavities and Ground Cave-ins by Damaged Sewer Pipes, Journal of the Korean Geotechnical Society, Vol.35, No.11, pp.37-49. https://doi.org/10.7843/KGS.2019.35.11.37
  11. Kim, C. R., Kim, J. H., Park, Y. S., Park, S. G., Yi, M. J., Son, J. S., ... and Jeong, J. M. (2005), Application of Geophysical Methods to Cavity Detection at the Ground Subsidence Area, In Proceedings of the Korean Geotechical Society Conference (pp. 376-383), Korean Geotechnical Society.
  12. Kim, H. S. and Kim, H. K. (2015), Application of Soil Surface Infrared Images for Geotechnical Non-destructive Testing Method, Journal of the Korean Society of Hazard Mitigation, Vol.15, No.3, pp.249-254. https://doi.org/10.9798/KOSHAM.2015.15.3.249
  13. Kim, Y. T., Choi, J. Y., Kim, K. D., and Park, H. M. (2017), A Study on the Selection of GPR Type Suitable for Road Cavity Detection, International Journal of Highway Engineering, Vol.19, No.5, pp.69-75.
  14. Kulkarni, N. N., Dabetwar, S., Benoit, J., Yu, T., and Sabato, A. (2022), Comparative Analysis of Infrared Thermography Processing Techniques for Roadways' Sub-pavement Voids Detection, NDT & E International, 129, 102652.
  15. Lee, D. Y. and Cho, N. K. (2016), Understanding of Subsurface Cavity Mechanism due to the Deterioration of Buried Pipe, Journal of the Korean Geotechnical Society, Vol.32, No.12, pp.33-43. https://doi.org/10.7843/kgs.2016.32.12.33
  16. Liu, I. S. (1990), On Fourier's Law of Heat Conduction, Continuum Mechanics and Thermodynamics, 2, pp.301-305. https://doi.org/10.1007/BF01129123
  17. Pappalardo, G., Mineo, S., Zampelli, S. P., Cubito, A., and Calcaterra, D. (2016), InfraRed Thermography Proposed for the Estimation of the Cooling Rate Index in the Remote Survey of Rock Masses, International Journal of Rock Mechanics and Mining Sciences, 83, 182-196. https://doi.org/10.1016/j.ijrmms.2016.01.010
  18. Sabato, A., Yu, T., Kulkarni, N. N., and Dabetwar, S. (2022), Detecting Subsurface Voids in Roadways Using UAS with Infrared Thermal Imaging (No. 22-025). Massachusetts. Dept. of Transportation. Office of Transportation Planning.
  19. Shakmak, B. and Al-Habaibeh, A. (2015, November), Detection of water leakage in buried pipes using infrared technology; A comparative study of using high- and low-resolution infrared cameras for evaluating distant remote detection. In 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) (pp. 1-7). IEEE.
  20. Shin, H. and Hong, S. S. (2022), Thermo-hydraulic Numerical Analysis for the Leakage of Buried District Heating Pipe, Journal of the Korean Geotechnical Society, Vol.38, No.3, pp.17-26. https://doi.org/10.7843/KGS.2022.38.3.17
  21. Song, S., Kim, H., Park, D., Kang, J., and Choi, C. (2016), Assessment of Impact-echo Method for Cavity Detection in Dorsal Side of Sewer Pipe, Journal of the Korean Geotechnical Society, Vol.32, No.8, pp.5-14. https://doi.org/10.7843/KGS.2016.32.8.5
  22. Tran, Q. H., Han, D., Kang, C., Haldar, A., and Huh, J. (2017), Effects of Ambient Temperature and Relative Humidity on Subsurface Defect Detection in Concrete Structures by Active Thermal Imaging, Sensors, Vol.17, No.8, 1718.