지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Recently, with the urban redevelopment and the spread of the planned cities, there is increasing interest in the wind environment, which is related not only to design of buildings and landscaping but also to the comfortability of pedestrians. Numerical analysis for wind environment prediction is underway in many fields, such as dense areas of high-rise building or composition of the apartment complexes, a precisive 3D building model is essentially required in this process. Many studies conducted for wind environment analysis have typically used the method of creating a 3D model by utilizing the building layer included in the GIS (Geographic Information System) data. These data can easily and quickly observe the flow of atmosphere in a wide urban environment, but cannot be suitable for observing precisive flow of atmosphere, and in particular, the effect of a complicated structure of a single building on the flow of atmosphere cannot be calculated. Recently, drone photogrammetry has shown the advantage of being able to automatically perform building modeling based on a large number of images. In this study, we applied photogrammetry technology using a drone to evaluate the flow of atmosphere around two buildings located close to each other. Two 3D models were made into an automatic modeling technique and manual modeling technique. Auto-modeling technique is using an automatically generates a point cloud through photogrammetry and generating models through interpolation, and manual-modeling technique is a manually operated technique that individually generates 3D models based on point clouds. And then the flow of atmosphere for the two models was compared and analyzed. As a result, the wind environment of the two models showed a clear difference, and the model created by auto-modeling showed faster flow of atmosphere than the model created by manual modeling. Also in the case of the 3D mesh generated by auto-modeling showed the limitation of not proceeding an accurate analysis because the precise 3D shape was not reproduced in the closed area such as the porch of the building or the bridge between buildings.
목차
Abstract
1. Introduction
2. Method
3. Experiment
4. Conclusion
References
참고문헌 (10)
참고문헌 신청
Blocken. B., Stathopoulos. T., and van Beeck., J.P.A.J. (2016), Pedestrian-level wind conditions around buildings: review of wind-tunnel and CFD techniques and their accuracy for wind comfort assessment, Building and Environment, Vol. 100, pp. 50-81.
Cheong, C.H., and Ryu, S.R. (2013), An analysis on the building wind variation in the residential community pedestrian area by the planting method, Architectural Institute of Korea, Vol. 29, No. 11, pp. 253-262. (in Korean with English abstract)
Chung, Y.B. and Na, S.U. (2001), Computational analysis and an application of wind environmental effects for high-rise buildings, Korea Society of Computational Fluids Engineering, 01 October, Busan, Korea, pp. 70-75. (in Korean with English abstract)
Kim, C.W., Yang, S.C., and Ahn, Y.C. (2011), A numerical analysis on the outside pressure distribution by outdoor wind effect in a high-rise residential building, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 23, No. 10, pp. 639-645. (in Korean with English abstract)
Kwon, A.R. and Kim, J.J. (2014), Improvement of buildingconstruction algorithm for using GIS data and analysis of flow and dispersion around buildings, Korean Journal of Remote Sensing, Vol. 30, No. 6, pp. 731-742. (in Korean with English abstract)
Cheong, C.H., and Ryu, S.R. (2013), An analysis on the building wind variation in the residential community pedestrian area by the planting method, Architectural Institute of Korea, Vol. 29, No. 11, pp. 253-262. (in Korean with English abstract)
Chung, Y.B. and Na, S.U. (2001), Computational analysis and an application of wind environmental effects for high-rise buildings, Korea Society of Computational Fluids Engineering, 01 October, Busan, Korea, pp. 70-75. (in Korean with English abstract)
Kim, C.W., Yang, S.C., and Ahn, Y.C. (2011), A numerical analysis on the outside pressure distribution by outdoor wind effect in a high-rise residential building, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 23, No. 10, pp. 639-645. (in Korean with English abstract)
Kwon, A.R. and Kim, J.J. (2014), Improvement of buildingconstruction algorithm for using GIS data and analysis of flow and dispersion around buildings, Korean Journal of Remote Sensing, Vol. 30, No. 6, pp. 731-742. (in Korean with English abstract)
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