Spatial Information Research

Korea Spatial Information Society (대한공간정보학회)
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Estimation of Design Wind Speed for Building Using Spatial Information Analysis

공간정보 분석을 통한 건축물의 설계풍속 산정

  • Lee, Seong-Yun (Dept. of Civil Engineering, Kyungpook National University) ;
  • Jo, Hyun-Jae (Dept. of Spatial Information, Kyungpook National University) ;
  • Lee, Hyun-Ki (Dept. of Civil Engineering, Kyungpook National University) ;
  • Choi, Se-Hyu (Dept. of Civil Engineering, Kyungpook National University)
  • Received : 2015.02.16
  • Accepted : 2015.06.26
  • Published : 2015.06.30
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Abstract

Once the building is higher than certain size, the wind effect plays very important role in structure design. Moreover, this is more important in Korea because dangerous phenomena like typhoons are common. Rational wind resistant design is being magnified considering the global flow and climate changes. This research presented the estimation method of design wind load using spatial information analysis based on 1:5,000 digital map and performed comparative analysis with actual application cases. The wind velocity pressure exposure coefficient and topographic coefficient turned out to be more quantitative and rational when calculated through the proposed method. The time and cost are comparatively low when compared with traditional method which contribute to the economic and rational wind resistant design.

건축물이 일정규모 이상 높아지면 구조설계 시 바람의 영향이 중요한 요인으로 작용하게 된다. 우리나라는 지형적인 특성상 태풍과 같은 위험현상이 자주 발생하는 지역이므로 더욱 중요한 요인이라 할 수 있다. 이러한 시대적 흐름과 기상변화를 고려한다면 건축물의 합리적인 내풍설계의 필요성이 더욱 부각되고 있다. 본 연구에서는 1:5,000 수치지형도를 바탕으로 공간정보분석을 이용하여 설계풍하중 산정방법을 제시하였으며 실제 적용사례와 비교분석 하였다. 제안된 방법으로 풍속고도분포계수, 지형계수를 산정할 경우 보다 정량적, 객관적으로 설계풍속을 산정할 수 있었으며 기존의 방법과 비교했을 때 평가에 필요한 시간과 비용을 단축할 수 있을 것으로 기대되 건축물의 합리적이고 경제적인 내풍설계에 도움이 될 것으로 기대된다.

Keywords

References

  1. Anselin, L. 1995, Local indicators of spatial association-LISA. Geographical Analysis, 27(2): 93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
  2. AIK(Architectural Institute of Korea). 2009, Korean Building Code-Structural. Kimoondang.
  3. Bungale, S; Taranath Ph. D., S. E. 2005, Wind and Earthquake Resistant Buildings Structural Analysis and Design.
  4. Choi, S. H; Sung, M. H. 2011, Estimation of the Topographic Factor of Wind Speed Using GIS Information. Journal of Korea Spatial Information Society 19(5):47-52.
  5. Choi, S. H; Seo, E. S. 2013, Estimating Method of Topographic Factor of Design Wind Speed Using GIS. Journal of the Korean Association of Geographic Information Studies. 16(3):126-135. https://doi.org/10.11108/kagis.2013.16.3.126
  6. Getis, A; Ord, J. K. 1992, The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3):189-206 https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
  7. Getis, A; Ord, J. K. 1996, Local spatial statistics: An overview in Spatial Analysis: Modling in a GIS Environment, Geoinformation International, Cambridge, 261-277.
  8. Kang, I. H. 2009, Manhattanization of Housing. Journal of the Korean housing association 4(2): 91-114.
  9. KIM, K. K. 2003, Detecting Spatial Autocorrelation and Using Spatial Regression, Journal of the Policy Analysis and Evaluation 13(1):273-294.
  10. Lee, J; Woog, David, W. S. 2001, Statistical Analysis with Arcview GIS. John Wiley&Sons, Inc.
  11. Lee, S. I; Jo, D. H; Sohn, H. G; Chae, M. O. 2010, A GIS-Based Method for Delineating Spatial Clusters: A Modified AMOEBA Technique. Journal of the Korean Geographical Society 45(4):502-520.
  12. Lee, S. Y. 2014, Development of Estimating Method for Designed Wind Loads of Building using GIS, Doctor's Degree Thesis, Kyungpook National University
  13. Seol, D. I. 2009, A Study on Typhoon Numbers and Intensity According to the Sea Areas of Occurrence. Journal of Navigation and Port Research 33(10):679-683. https://doi.org/10.5394/KINPR.2009.33.10.679
  14. Seol, D. I. 2010, Global Warming and Trends of Typhoon Variation. Journal of Navigation and Port Research 34(6):453-458. https://doi.org/10.5394/KINPR.2010.34.6.453
  15. Sibson, R., 1981, A Brief Description of Natural Neighbor Interpolation, pp. 21-36.
  16. Sung, M. H; Choi, S. H. 2011, Estimation of Velocity Pressure Exposure Coefficient using GIS. Journal of Korea Spatial Information Society 19(1):13-19.
  17. Sung, M. H; Park, K. S; Choi, S. H. 2010, Estimation of Topographic Factor of Wind Speed Using Geographic Information. Journal of Korea Spatial Information Society 18(3):13-22.
  18. Zhang, Z; Griffitth, D. A. 1997. Developint userfriendly spatial statistical analysis modules for GIS: An example using ArcView, Computation, Envrionment, and Urban System, 21(1):5-29 https://doi.org/10.1016/S0198-9715(97)00011-2

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