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- 저자 : 이은석 ( Eunseok Lee ) (검색결과 119 건)
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고받음각 오자이브의 비대칭 와류에 작용하는 구동기 효과 분석
이은석,이진익,이광섭,Lee, Eunseok,Lee, Jin Ik,Lee, Kwang Seop 한국군사과학기술학회 2013 한국군사과학기술학회지 Vol.16 No.5
The effect of the flow actuator on the asymmetric vortex structure around the ogive-cylinder body with fineness ratio of 4 flying at the speed of Mach 0.1 at angle of attack of 50 degree is studied. The ogive-cylinder model is developed with the actuator placed near the nose tip and numerically simulated using the in-house CFD code named KFLOW. The numerical simulation employs two different actuator modeling: one is the boundary condition given by blowing normal to the surface and another shearing on the surface. The numerical simulation reveals that response of the vortex structure to the actuation is dependent on the type of modeling as well as the strength and direction of the actuation.
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이은석(Lee, Eunseok) 한국기후변화학회 2020 한국기후변화학회지 Vol.11 No.1
Unusual meteorological phenomena in urban areas are causes of life loss and economic damage. Flooding is the major cause of large economic damage among natural disasters that occurs in cities. Especially, localized torrential rains in urban areas cause substantial economic damage in only a short time. Although similar torrential rain falls occur in both the city and nature, the occurrence patterns for flooding are very different. Urbanization is one reason for flooding to exhibit different characteristics, which we refer to as urban characteristics. However, the vulnerabilities of flooding in urban areas to do urbanization are unclear. Thus, it is necessary to analyze and perform a vulnerability diagnosis of the characteristics of different areas and buildings that are repeatedly damaged by flooding. This study identified vulnerabilities using a modified spatial regression model (OLS) using big data for buildings in 2012 in Seoul, which was repeatedly flooded by heavy rains of more than 50 mm/hour since 2000. In addition, the vulnerability diagnosis model was applied to individual parcels containing buildings in Seoul in order to spatially derive and verify the probability distribution of buildings vulnerable to urban flooding.
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