한국공간구조학회논문집 (Journal of Korean Association for Spatial Structures)

  • 제22권4호
  • /
  • Pages.15-22
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  • 2022
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  • 1598-4095(pISSN)
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  • 2287-7401(eISSN)
한국공간구조학회 (Korean Association for Spatial Structures)
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전산유체해석을 이용한 전통한옥 주변의 미기후 특성에 대한 연구

A Study on the Characteristic Micro-Climate of Traditional Korean Houses using Computational Fluid Analysis

  • 박민우 (전북대학교 건축공학과) ;
  • 유장열 (송원대학교 건축공학과) ;
  • 남병희 (전북대학교 건축공학과) ;
  • 유기표 (전북대학교 건축공학과, 장경간철골구조농촌시설물연구센터)
  • Park, Min-Woo (Department of Architect Engineering, Jeonbuk National University) ;
  • You, Jang-Youl (Department of Architect Engineering, Song Won University) ;
  • Nam, Byung-Hee (Department of Architect Engineering, Jeonbuk National University) ;
  • You, Ki-Pyo (Department of Architect Engineering, Jeonbuk National University, Long-span Steel Frame System Research Center)
  • 투고 : 2022.08.11
  • 심사 : 2022.09.29
  • 발행 : 2022.12.15
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초록

Micro-climate measurements and computational fluid analysis were conducted to use it as basic data for the preservation and management of the old house of Kim Myung-kwan, a traditional building that is National Folk Cultural Property No. 26. As a result of the actual measurement, the temperature and humidity are relatively evenly distributed indoors unlike outdoors, but the temperature and humidity vary depending on the time change and the installation location in the outdoors. It was found that the temperature increases after dawn and the temperature varies depending on the installation position around 14:00-15:00, when the temperature becomes the highest. In particular, the temperature was high at the outdoor measurement point adjacent to the building and the fence. As a result of the computational fluid analysis, the temperature was high in the buildings and fences in the old house or in the area adjacent to the building, and it was about 1℃ higher than the surrounding area. In this area, it is judged that the thickening of wood will occur more severely than in other locations, and special preservation management is required.

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과제정보

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단(NRF-2020R1A2C1014044)에 의해 수행되었습니다.

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