• Title/Summary/Keyword: 유동 공간

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CFD Analysis on Base Region of Small Scaled 4 Nozzle Clustered Engine Configuration (CFD를 이용한 축소형 공기 클러스터드 노즐의 저부 유동 분석)

  • Kim, Seong-Lyong;Kim, In-Sun
    • Aerospace Engineering and Technology
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    • v.11 no.1
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    • pp.68-77
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    • 2012
  • Flow characteristics of base region of small scaled 4 nozzle clustered engine has been analyzed with CFD approach along with the tests of numerical methods. The numerical test shows that Spalart-Allmaras turbulence model is appropriate for the present research. Plumes expanded from nozzles exits collide with each other and make high pressure stagnation region. Some of collided plumes expand again reversely into the base region with supersonic speeds. The reversed plume in the base region goes out to the outer region through the minimum vent area formed by the nearest nozzle exterior surfaces. But different from the empirical theory, the minimum vent area does not play a role of throat. Additionally the temperature of the nozzle inner surface strongly affects the temperature of the reversed plumes.

절리에서의 주입재 유동특성에 관한 연구

  • 김문상;문현구
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 1995.03a
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    • pp.48-55
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    • 1995
  • 주입공법은 지하공간을 개발할 때 굴착면의 붕괴와 지하수의 유입으로 인한 지하 공동의 불안정성을 방지하고 지반 침하를 최소화하여 지상 구조물에 미치는 피해를 줄이는 목적에 사용되고 있다. 또한 주입공법은 설비가 간단하고 소규모이기 때문에 협소한 장소나 공간에서도 시공할 수 있고 진동 및 소음에 대한 영향이 적기 때문에 공사현장에서 요긴하게 사용되는 공법이다. $^{(1)}$ (중략)

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The Effect of Floating Location on Goodwill and Rent of Retail Shop -Focused on Seocho·Gangnam Commercial Area- (유동인구가 상가권리금과 임대료에 미치는 영향 -서초·강남구 상권을 중심으로-)

  • Lee, Se-won;Noh, Seung-Chul;Park, Yong-Beom;Kim, Hyun-Deok
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.1
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    • pp.229-244
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    • 2018
  • The purpose of this study is to analyze the factors affecting the influence of the size and composition of the floating population on goodwill and Rent. First, the conceptual difference between location value and rent is clearly distinguished. Second, the value of land price is divided into fixed land value and floating land value. The empirical analysis utilized consulting data from 188 shops in Seocho and Gangnam-gu in 2013 ( restaurants, resting restaurants, drinking places, general stores, entertainment and sports). The results using linear regression analysis are as follows. Goodwill and rent have a positive correlation, but the evaluation system and factors are different. Especially the influence of the floating location factor is larger than the rent. And the fixed location factors such as building deterioration bus stops, were found to be significant influencing factors in the rents, but they did not affect goodwill. This result implies that the value of location of goodwill should be taken into consideration of a temporal and spatial concept. Since, in order to resolve disputes between the landlord and the tenant, it is necessary to accumulate data continuously and to study the objective evaluation system in the future.

Characteristics of Heat Transfer in Three-Phase Swirling Fluidized Beds (삼상 Swirling 유동층에서 열전달 특성)

  • Son, Sung-Mo;Shin, Ik-Sang;Kang, Yong;Cho, Yong-Jun;Yang, Hee-Chun
    • Korean Chemical Engineering Research
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    • v.46 no.1
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    • pp.56-62
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    • 2008
  • Characteristics of heat transfer were investigated in a three-phase swirling fluidized bed whose diameter was 0.102 m and 2.5 m in height. Effects of gas and liquid velocities, particle size and liquid swirling ratio ($R_S$) on the immersed heater-to-bed overall heat transfer coefficient were examined. The heat transfer characteristics between the immersed heater and the bed was well analyzed by means of phase space portraits and Kolmogorov entropy(K) of the time series of temperature difference fluctuations. The phase space portraits of temperature difference fluctuations became stable and periodic and the value of Kolmogorov entropy tended to decrease with increasing the value of liquid swirling ratio from 0.1 to 0.4. The value of Kolmogorov entropy exhibited its minimum with increasing liquid swirling ratio. The value of overall heat transfer coefficient (h) showed its maximum with the variation of liquid velocity, bed porosity or liquid swirling ratio, but it increased with increasing gas velocity and particle size. The value of K exhibited its maximum at the liquid velocity at which the h value attained its maximum. The overall heat transfer coefficient and Kolmogorov entropy were well correlated in terms of dimensionless groups and operating variables.

A Study on The characteristic changes of the air flow by the Fire Compartment in High-rise Building (고층건물에서 방화구획에 따른 공기유동 특성 변화에 대한 연구)

  • Lee, June-Ho;Kim, Jae-Hong;Choi, Jin-Won;Song, Doo-Sam
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2012.04a
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    • pp.93-96
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    • 2012
  • 본 연구에서는 고층건물에서 화재가 발생할 경우, 방화구획에 의해 건물 내 공기유동특성 변화를 시뮬레이션을 통해 분석하고자 한다. 고층건물의 경우 일반적인 저층 건물과 달리 건물의 형태, 내부 구획 등에 따라 공기유동 특성이 다르게 분포하게 된다. 특히 화재 시에는 방화를 위해 구동되는 방화구획에 따라 내부 공간의 형태, 구획이 변화하여 공기유동의 특성이 변화하게 되므로 본 연구에서는 화재 시 방화구획에 따른 공기유동 특성변화 분석을 실시하였다.

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An Empirical Study on the Spatial Effect of Distribution Patterns between Small Business and Social-environmental factors (소상공인 점포의 분포와 환경요인의 공간적 영향관계에 관한 실증연구)

  • YOO, Mu-Sang;CHOI, Don-Jeong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.1
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    • pp.1-18
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    • 2019
  • This research measured and visualized the spatial dependency and the spatial heterogeneity of the small business in Cheonan-si, Asan-si with $100m{\times}100m$ grids based on global and local spatial autocorrelation. First, we confirmed positive spatial autocorrelation of small business in the research area using Moran's I Index, which is ESDA(Exploratory Spatial Data Analysis). And then, through Getis-Ord $GI{\ast}$, one kind of LISA(Local Indicators of Spatial Association), local patterns of spatial autocorrelation were visualized. These verified that Spatial Regression Model is valid for the location factor analysis on small business commercial buildings. Next, GWR(Geographically Weighted Regression) was used to analyze the spatial relations between the distribution of small business, hourly mobile traffic-based floating population, land use attributes index, residence, commercial building, road networks, and the node of traffic networks. Final six variables were applied and the accessibility to bus stops, afternoon time floating population, and evening time floating population were excluded due to multicollinearity. By this, we demonstrated that GWR is statistically improved compared to OLS. We visualized the spatial influence of the individual variables using the regression coefficients and local coefficients of determinant of the six variables. This research applied the measured population information in a practical way. Reflecting the dynamic information of the urban people using the commercial area. It is different from other studies that performed commercial analysis. Finally, this research has a differentiated advantage over the existing commercial area analysis in that it employed hourly changing commercial service population data and it applied spatial statistical models to micro spatial units. This research proposed new framework for the commercial analysis area analysis.

ARX Design Technique for Low Order Modeling of Backward-Facing-Step Flow Field (후향계단 유동장 저차 모델링을 위한 ARX 설계 기법)

  • Lee, Jin-Ik;Lee, Eun-Seok
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.10
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    • pp.840-845
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    • 2012
  • An ARX(Auto-Regressive eXogenous) modeling technique for vortex dynamics in the BFS(Backward Facing Step) flow field is proposed in this paper. In order for the modeling of the dynamics, the spatial and temporal modes are extracted through POD(Proper Orthogonal Decomposition) analysis. Determining the orders of the inputs and outputs for an ARX structure is carried out by the spectrum analysis and temporal mode analysis, respectively. The order of input delay terms is also determined by the flow velocity. Finally the coefficients of the ARX model are designed by using an artificial neural network.