• Title/Summary/Keyword: 부분축소모형

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Experimental Study of Steel Transmission Tower using Partially Scaled Model (송전철탑 부분축소모형의 실험적 연구)

  • Kim, Jong-Min;Kim, Seung-Jun;Park, Jong-Sup;Kang, Young-Jong
    • Journal of Korean Society of Steel Construction
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    • v.22 no.4
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    • pp.335-344
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    • 2010
  • This paper presents both of an investigation on the ultimate responses and a verification study on the structural methodology using beam-truss element of steel transmission towers using experimental study. The partially scaled tower which verified with analytical model was fabricated and the horizontal load was applied up to failure in the laboratory. The structural methodology for finite element analyses was verified against experimental results and both the ultimate load capacity and collapse mechanism were shown in the test to give sufficiently accurate results with those of analytical study. It was shown as well that the ultimate failure is primarily attributed to instability of the main posts in the leg parts.

Overview of estimating the average treatment effect using dimension reduction methods (차원축소 방법을 이용한 평균처리효과 추정에 대한 개요)

  • Mijeong Kim
    • The Korean Journal of Applied Statistics
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    • v.36 no.4
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    • pp.323-335
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    • 2023
  • In causal analysis of high dimensional data, it is important to reduce the dimension of covariates and transform them appropriately to control confounders that affect treatment and potential outcomes. The augmented inverse probability weighting (AIPW) method is mainly used for estimation of average treatment effect (ATE). AIPW estimator can be obtained by using estimated propensity score and outcome model. ATE estimator can be inconsistent or have large asymptotic variance when using estimated propensity score and outcome model obtained by parametric methods that includes all covariates, especially for high dimensional data. For this reason, an ATE estimation using an appropriate dimension reduction method and semiparametric model for high dimensional data is attracting attention. Semiparametric method or sparse sufficient dimensionality reduction method can be uesd for dimension reduction for the estimation of propensity score and outcome model. Recently, another method has been proposed that does not use propensity score and outcome regression. After reducing dimension of covariates, ATE estimation can be performed using matching. Among the studies on ATE estimation methods for high dimensional data, four recently proposed studies will be introduced, and how to interpret the estimated ATE will be discussed.

Evaluation of Reducing Cross Section of the Partial Drainage Shield Tunnel Segment using the Model Experiments (축소모형실험을 통한 부분배수 쉴드터널의 세그먼트 단면 축소 가능성 평가)

  • Ma, Sang Joon;Lee, Young Sub;Kim, Dong Min
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.2
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    • pp.387-396
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    • 2015
  • The existing shield tunnel has constructed in the concept of non-drainage uniformly, but the leak has become a problem in the construction and management. The Shield tunnel design allowed for the water and earth pressure bring about the increasing segment thickness and the construction costs. In order to improve these problems, the study of the partial drainage shield tunnel is in progress. In this study, th model experiment was performed to confirm the possibility of the partial drainage shield tunnel. And the water and earth pressure was measured in drainage and undrained condition. Based on the results of model experiments, the effect of water pressure reduction was confirmed by reviewed the structure stability of the real design case.

Labour Market institutions, Wage Dispersion, and Social Policy (노동시장 제도, 임금분산, 그리고 복지정책)

  • Hong, Kyung-Zoon
    • Korean Journal of Social Welfare
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    • v.59 no.4
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    • pp.297-317
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    • 2007
  • In this article, I want to demonstrate wage equality increases support for welfare expenditures while the wage equality depends on how labour market institutions are organized. In other words, this study tries to show that there can be institutional complementarity between inequality-reducing labour market institutions and generous social policy. In the first section, I develop a theoretical models which deal(1) how the inequality of income affects the political support for welfare expenditure(2) how the configurations of labour market institutions affect income inequality in the labour market. In the following section, this study tests the models with data on welfare spending, configurations of labour market institutions, and the inequality of wage and salaries in 14 welfare states from 1980 to 1995. Empirical analysis also provides support for key implications of the models. These models and empirical findings may show that the institutional complementarity stems from the interdependence of institutional influences on actors' decision-making. Moreover, this study suggests welfare policy are always considered with labour market institutions.

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A Study on the Model Experimet and MLZ Model Analysis for Predicting Fire Behavier in Road Tunnel (도로터널에서의 화재성상 예측을 위한 축소모형실험 및 MLZ모델 분석에 관한 연구)

  • Han, Jung-Chul;Lee, Ju-Hee;Kwon, Young-Jin
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2012.04a
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    • pp.294-297
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    • 2012
  • 본 연구는 MLZ을 활용하여 도로터널의 다양한 화재시나리오별 화재성상예측을 목적으로 1/20 Scale 모형실험을 통하여 소형차, 버스화재 시 FAN의 작동 비작동, 소형차 2대 직렬 병렬화재, 소형차 2대+버스 혼합 화재실험을 바탕으로 FAN작동시 배기구 방향으로 고온의 열기층이 생성됨을 확인하였다. 축소모형실험과 MLZ 해석결과를 비교하여 화원으로부터의 약 20m 정도의 이격거리부분 온도가 유사하게 나타났고, 시간별 온도분포를 확인한 결과 플래시오버 이전단계에 피난계획을 세우는 단계에서 예측이 가능했다.

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Effect of Dimension in Optimal Dimension Reduction Estimation for Conditional Mean Multivariate Regression (다변량회귀 조건부 평균모형에 대한 최적 차원축소 방법에서 차원수가 결과에 미치는 영향)

  • Seo, Eun-Kyoung;Park, Chong-Sun
    • Communications for Statistical Applications and Methods
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    • v.19 no.1
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    • pp.107-115
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    • 2012
  • Yoo and Cook (2007) developed an optimal sufficient dimension reduction methodology for the conditional mean in multivariate regression and it is known that their method is asymptotically optimal and its test statistic has a chi-squared distribution asymptotically under the null hypothesis. To check the effect of dimension used in estimation on regression coefficients and the explanatory power of the conditional mean model in multivariate regression, we applied their method to several simulated data sets with various dimensions. A small simulation study showed that it is quite helpful to search for an appropriate dimension for a given data set if we use the asymptotic test for the dimension as well as results from the estimation with several dimensions simultaneously.

Topics in Waste Incinerator Research and Development (소각로 개발 관련 연구)

  • 최상민;김성중;유영돈
    • Journal of the KSME
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    • v.34 no.8
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    • pp.632-642
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    • 1994
  • 이 글의 앞부분에서는 소각로 관련 선진기술 중에서 소각 연소실부분에 대한 내용을 검토하고, 저공해화를 위한 연소실을 설계할 때 고려해야 할 인자들을 도출한다. 이러한 설계인자들에 대한 정량적인 평가는 설계개념 확인 및 설계인자의 검토를 위한 연소, 유동, 열전달 등 실험실 규모의 실험과 열유동의 전산해석 기법을 활용하여 설계변수의 최적화를 통해 이루어진다. 이 글에서는 컴퓨터. 프로그램을 사용하는 전산유동해석, 축소 모형장치를 사용하는 실험 등 열유동 해석법과 고형 폐기물의 연소특성을 분석하는 실험적.이론적 접근법을 소개한다.

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A Study on Construction of an Optimal Fossil Fuel Mix: A Portfolio-Based Approach (평균-분산 모형을 이용한 화석에너지원 소비조합 구성에 관한 연구)

  • Cha, Kyungsoo
    • Environmental and Resource Economics Review
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    • v.20 no.2
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    • pp.335-356
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    • 2011
  • In this paper, we attempted to suggest a way to evaluate appropriateness and efficiency for the energy consumption structure. For this, based on Markowitz (1952)' mean-variance portfolio model, we constructed an optimal fossil fuel mix. In constructing the optimal mix, we first defined returns on fossil fuels (oil, coal and natural gas) as TOE (Ton of Oil Equivalent) per $1. Then, by using the dynamic latent common factor model, we decomposed the growth rates of the returns on each fossil fuel into two parts : the common part and the idiosyncratic part. Finally, based on the results from the dynamic latent common factor model, we constructed the optimal fossil fuel mix implied by the mean-variance portfolio model. Our results indicate that for the fossil fuel mix to be on the efficient frontier, it is crucial to reduce oil consumption as low as possible. Moreover, our results imply that it is more efficient to increase natural gas consumption rather than coal consumption in reducing oil consumption. These results are in line with the strategies for the future energy consumption structure pursued by Korea and indicate that reduction in oil use can improve overall efficiency in energy consumption.

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Study on Hydraulic Characteristics according to Construction of Channel Island in a Stream (하천 내 하중도 설치에 따른 수리학적 특성 변화 연구)

  • Park, Sung-Chun;Roh, Kyong-Bum;Jin, Young-Hoon;Park, Han-Min;Kim, Jae-Hyung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.674-678
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    • 2010
  • 하천 형상은 자연적인 흐름과 인간의 활동에 의해 다양한 형태로 변화되며, 이러한 변화과정을 통해 안정된 형상을 갖추어간다. 이러한 변화는 흐름과 상호작용 과정을 통해 진전되며, 하천의 형태를 변화시키는 흐름 또한 저수로 형태 및 수량적인 변화 등에 의해 다양한 특성을 갖게 된다. 본 연구에서는 하천 내의 형태가 인간의 활동에 의해 인공적으로 변화되었을 경우 하천의 수리학적 특성에 미치는 영향을 3차원 수치해석 모형인 EFDC(Environmental fluid Dynamics Code, 미국 버지니아 해양연구소 개발) 모형을 이용하여 검토하였다. EFDC 모형은 크게 유동, 퇴적물 이송, 수질의 세 부분으로 구성되어 있으며, 유동 모델은 수온과 염분이 고려된 3차원 천수방정식을 기본으로 하고 있다. EFDC 모형의 적용을 위한 Case1은 일반적인 저수로 형태 갖는 하천이며, Case2에서는 하천 저수로 내 인공적으로 하중도가 설치되었을 경우에 대하여 수리학적 특성을 모의하였다. 수치모의 결과 다음과 같은 결과를 확인 할 수 있었다. 수위변화는 하중도 유무에 따라 상하류 부분에서 전혀 다른 결과를 나타냈다. 유속분포는 Case1에 비하여 Case2의 경우 하중도 설치에 의해 하천의 상류부에서는 흐름의 정체부분이 나타났으며, 하류부에서는 급확대에 의한 유속의 감소가 나타났다. 그리고 하중도에 의해 저수로가 분기됨에 따라 저수로의 급축소부가 발생되고, 이로 인해 유속이 급속히 증가되었다. 본 연구의 Case2와 같이 하천에 하중도를 설치할 경우 만곡부 외측 부분에서는 유속의 현저한 증가가 발생하는 것을 확인할 수 있었다. 이와 같이 하중도의 설치 위치, 하중도의 규모 등에 따라 하중도 부분의 급격한 수위 및 유속 변화이 발생되는 것을 확인하였으며, 만곡부에 이와 같은 것을 설치할 경우 보다 정밀한 수리계산을 통해 안전성이 확보되는 하중도 설치가 필요할 것으로 판단된다.

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