한국건설순환자원학회논문집 (Journal of the Korean Recycled Construction Resources Institute)

한국건설순환자원학회 (Korean Recycled Construction Resources Institute)
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건설 현장 인접 건물의 현장 조사를 위한 균열 측정 디지털 데이터 그래픽 프로그램 적용 가능성에 관한 연구

A Study on the Applicability of the Crack Measurement Digital Data Graphics Program for Field Investigations of Buildings Adjacent to Construction Sites

  • 정의인 (공주대학교 미래도시융복합연구소) ;
  • 김봉주 (공주대학교 그린스마트건축공학과)
  • Ui-In Jung (Future Urban Convergence Research Institute, Kongju National University) ;
  • Bong-Joo Kim (Department of Green Smart Architectural Engineering, Kongju National University)
  • 투고 : 2024.01.19
  • 심사 : 2024.01.31
  • 발행 : 2024.03.30
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초록

건설기술의 발달을 통하여 재개발 사업, 도로의 지하화, 지하철 증설, 광역철도 등 다양한 공사가 이루어지고 있다. 하지만 이것 때문에 기존에 형성된 도심지와 인근 지역에서의 공사들도 증가함에 따라 주변 인접 건물과 주민들의 피해와 분쟁 사례의 증가는 물론 기존 건축물의 노후화로 인한 안전사고 발생 또한 증가하고 있다. 본 연구에서는 디지털 데이터를 그래픽 프로그램에 적용하여 균열의 생성, 길이와 폭의 증진 등을 사진 촬영 이미지를 통해 비교하여 이에 대한 정도를 수치로 제시하여 균열에 대한 진전을 객관화하고자 하였다. 프로그램 적용을 통하여 기존 현장 조사의 단점으로 언급되던 균열 변화 여부의 주관적 판단에 따른 오류를 해결하였다. 이를 통해 사용 과정에서의 보완 및 개선 사항을 적용한다면 신뢰성이 향상되어 건축물 진단 과정에 보편적으로 사용될 수 있을 것으로 예상한다. 후속 연구로 디지털 그래픽 데이터 프로그램의 추출 알고리즘을 적용하여 전처리 작업에 사람이 개입하지 않는 것과 자체적으로 균열의 길이와 폭을 계산하고, 건축물의 전체적인 변화를 점검할 수 있는 후속 연구가 필요할 것으로 판단된다.

Through the development of construction technology, various construction projects such as redevelopment projects, undergrounding of roads, expansion of subways, and metro railways are being carried out. However, this has led to an increase in the number of construction projects in existing urban centers and neighborhoods, resulting in an increase in the number of damages and disputes between neighboring buildings and residents, as well as an increase in safety accidents due to the aging of existing buildings. In this study, digital data was applied to a graphics program to objectify the progress of cracks by comparing the creation of cracks and the increase in length and width through photographic images and presenting the degree of cracks numerically. Through the application of the program, the error caused by the subjective judgment of crack change, which was mentioned as a shortcoming of the existing field survey, was solved. It is expected that the program can be used universally in the building diagnosis process by improving its reliability if supplemented and improved in the process of use. As a follow-up study, it is necessary to apply the extraction algorithm of the digital graphic data program to calculate the length and width of the crack by itself without human intervention in the preprocessing work and to check the overall change of the building.

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과제정보

이 논문은 2021년 공주대학교 학술연구지원사업의 연구지원에 의해 수행되었습니다.

참고문헌

  1. Chen, L.C., Jan, H.H., Haung, C.W. (2001). Mensuration of concrete cracks using digital close-range photographs, Proceedings of The 22nd Asian Conference of Remote Sensing, 1248-1253. 
  2. Choe, G.C., Kim, H.S., Jeon, J.S., Lee, M.H., Pyeon, S.J., Nam, J.S. (2023). A study on the application method of mechanochromic sensor for crack monitoring in buildings, Journal of The Korea Institute of Building Construction, 23(1), 67-79. 
  3. Henriques, M.J., Roque, D. (2015). Unmanned aerial vehicles (UAV) as a support to visual inspections of concrete dams, Second International Dam World Conference Proceedings, 1-12. 
  4. Jeong, D.M., Lee, J.H., Ju, Y.K. (2019). Photogrammetric crack detection method in building using unmanned aerial vehicle, Journal of the Architectural Institute of Korea Structure & Construction, 35(1), 11-19. 
  5. Jung, S.Y., Lee, S.K., Park, C.I., Cho, S.Y., Yu, J.H. (2019). A method for detecting concrete cracks using deep-learning and image processing, Journal of the Architectural Institute of Korea Structure & Construction, 35(11), 169-170. 
  6. Jung, U.I., Kim, B.J. (2013). A study for solution of environment dispute reduction by case analysis of the blasting dispute in construction projects, Proceedings of Korea Institute for Structural Maintenance and Inspection, Busan, Korea, 13(1), 41-44. 
  7. Khaloo, A., Lattanzi, D. (2016). Hierarchical dense structure-from-motion reconstructions for infrastructure condition assessment, Journal of Computing in Civil Engineering, 31(1), 04016047. 
  8. Kim, J.H., Kim, G.Y., Kim, D.J. (2023a). Domain adaptive deep learning-based crack detection for building inspection, The Journal of Korean Institute of Communications and Information Sciences, 48(5), 567-580. 
  9. Kim, H.Y., Kim, G.Y., Kim, D.J. (2023b). A development of crack detection deep learning model reflecting characteristic of building cracks, Proceedings of Korean Institute of Communications and Information Sciences, JeJu, Korea, 23(1), 1164-1165. 
  10. Kim, J.S. (2009). A case study of dispute resolution on construction noise and vibration damages for national environmental dispute resolution, Journal of the Korean Society of Living Environmental System, 16(5), 486-493. 
  11. Kim, J.W., Jung, Y.W., Rhim, H.C. (2017). Study on structure visual inspection technology using drones and image analysis techniques, Journal of The Korea Institute of Building Construction, 17(6), 545-557.  https://doi.org/10.5345/JKIBC.2017.17.6.545
  12. Kim, J.Y., Cho, Y.H. (2002). Development of crack detection program on asphalt pavement, Journal of the Korean Society Of Civil Engineers, 22(4D), 639-647. 
  13. Kim, K.B., Cho, J.H. (2010). Detection of concrete surface cracks using fuzzy techniques, Journal of the Korea Institute of Information and Communication Engineering, 14(6), 1353-1358.  https://doi.org/10.6109/jkiice.2010.14.6.1353
  14. Kim, Y. (2016). Development of crack recognition system for concrete structure using image processing method, The Journal of Korean Institute of Information Technology, 14(10), 163-168. 
  15. Kwan, A.K.H., Ng, P.L. (2015). Building diagnostic techniques and building diagnosis: the way forward, Engineering Asset Management. Professional Practices and Certification, 849-862. 
  16. Lee, H.B., Kim, J.W., Jang, I.Y. (2012). Development of automatic crack detection system for concrete structure using image processing method, Journal of The Korea Institute for Structural Maintenance and Inspection, 16(1), 64-77.  https://doi.org/10.11112/jksmi.2012.16.1.064
  17. Park, H.J., Ryu, J.R., Woo, S.H., Choo, S.Y. (2016). An improvement of the building safety inspection survey method using laser scanner and bim-based reverse engineering, Journal of the Architectural Institute of Korea Planning & Design, 32(12), 79-90. 
  18. Park, J., Kim, S.G. (2020). Structural Safety Management for Small-Scale Buildings, Korea: The Seoul Institute, 1-115. 
  19. Pyeon, S.J., Kim, J.H., Kim, K.Y., Choe, G.C., Son, M.J., Nam, J.S. (2021). A study of the prevent measure by case analysis of apartment building defect lawsuit, Journal of The Korea Institute of Building Construction, 21(4), 257-268. 
  20. Shi, Z., Ergan, S. (2020). Towards point cloud and model-based urban facade inspection: challenges in the urban facade inspection, Proceedings of Construction Research Congress 2020, Tempe, USA. 385-394.