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한국공간구조학회논문집 = Journal of the Korean Association for Spatial Structures, v.23 no.3, 2023년, pp.95 - 103
정상기 (고려대 건축사회환경공학과) , 장아름 (고려대 건축사회환경공학과) , 박진한 (현대엔지니어링(주) 스마트기술센터) , 강창훈 (현대엔지니어링(주) 스마트기술센터) , 주영규 (고려대 건축사회환경공학부)
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With the increasing number of aging buildings across Korea, emerging maintenance technologies have surged. One such technology is the non-contact detection of concrete cracks via thermal images. This study aims to develop a technique that can accurately predict the depth of a crack by analyzing the ...
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Sony, S., Laventure, S. and Sadhu, A. (2019),？"A literature review of next-generation？smart sensing technology in structural health monitoring", Structural Control and Health？Monitoring, 26(3), e2321.？DOI:https://doi.org/10.1002/stc.2321
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Jang, A., Ju, Y.K. and Park, M.J. (2022),？"Structural stability evaluation of existing？buildings by reverse engineering with 3D？laser scanner", Remote Sensing, 14(10), 2325.？DOI:https://doi.org/10.3390/rs14102325
Bae, J., Lee, J., Jang, A., Ju, Y.K. and Park,？M.J. (2022), "SMART SKY Eye system for？preliminary structural safety assessment of？buildings using unmanned aerial vehicles",？Sensors, 22(7), 2762.？DOI:https://doi.org/10.3390/s22072762
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Omar, T., Nehdi, M. L., & Zayed, T. (2018).？Infrared thermography model for automated？detection of delamination in RC bridge？decks. Construction and Building Materials, 168, 313-327.？DOI:https://doi.org/10.1016/j.conbuildmat.2018.02.126
Watase, A., Birgul, R., Hiasa, S., Matsumoto,？M., Mitani, K., & Catbas, F. N. (2015).？Practical identification of favorable time？windows for infrared thermography for？concrete bridge evaluation. Construction？and Building Materials, 101, 1016-1030.？DOI:https://doi.org/10.1016/j.conbuildmat.2015.10.156
Bae, J., Jang, A., Park, M. J., Lee, J. and Ju,？Y.K. (2022), "Assessment of concrete macrocrack？depth using infrared thermography",？Steel and Composite Structures, 43(4), 501-509.？DOI:https://doi.org/10.12989/scs.2022.43.4.501
Park, M.J., Kim, J., Jeong, S., Jang, A., Bae,？J. and Ju, Y.K. (2022), "Machine learning-based？concrete crack depth prediction using？thermal images taken under daylight？conditions", Remote Sensing, 14(9), 2151.？DOI:https://doi.org/10.3390/rs14092151
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Chen, C., Chandra, S., Han, Y., & Seo, H.？(2021). Deep learning-based thermal image？analysis for pavement defect detection and？classification considering complex pavement？conditions. Remote Sensing, 14(1), 106.？DOI:https://doi.org/10.3390/rs14010106
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