• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.404-408
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• 2004

인공순환수로 실험구간에 반구구조물을 설치하지 않은 경우와 설치할 경우의 흐름특성을 분석하기 위하여 수치모의를 수행하였다. 수치모의는 FLUNET가 제공하는 RNG $k-\varepsilon$ 모형과 Reynolds Stress 모형을 사용하였으며 음파유속계(ADV)를 이용하여 측정한 결과와 비교분석 하였다. 수치모의와 실험결과의 상관성을 분석한 길과, RNG $k-\varepsilon$과 Reynolds Stress 모형의 계산결과와 실측값의 상관계수는 반구구조물을 설치하지 않은 경우 0.60 - 0.63, 반구구조물을 설치한 경우 0.75 - 0.78로 큰 차이가 없었다. 그러나 계산반복회수의 경우 RNG $k-\varepsilon$ 모형이 Reynolds Stress 모형에 비하여 2 - 5배 정도 빠르다. 두 모형의 걸과가 크게 차이가 나지 않으므로 순환수로 내의 흐름특성을 분석하기 위한 모형으로 수렴속도가 빠른 RNG $k-\varepsilon$ 모형을 선정하였다. 수치모의 결과와 "흐름 메카니즘에 의한 깔따구의 분포(I)- 실험"의 깔따구 분포경향을 비교한 결과 깔따구는 전반적으로 유속과 난류강도가 작은 곳에 분포하였으며 실험구간에 반구구조물이 있는 경우에는 구조물의 상${\cdot}$하류에 깔따구가 분포하였다. 이차류 또한 깔따구의 분포에 영향을 미친다. 향후 흐름특성에 따른 저서생물의 분포경향을 분석을 위하여 전산유체역학의 기법들을 적용하면 깔따구 등의 저서성 대형무척추 동물의 분포와 흐름특성의 관계를 저렴한 비용으로 분석할 수 있을 것이다.

• Transactions of the Korean hydrogen and new energy society
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• v.33 no.2
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• pp.121-129
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• 2022

With the advent of the post-2020 climate regime, the hydrogen industry is growing rapidly around the world. In order to build the hydrogen economy, it is important to identify social issues related to hydrogen and prepare countermeasures for them. Accordingly, this study conducted a semantic network analysis on hydrogen news from NAVER. As a result of the analysis, the number of hydrogen news in 2020 increased by 4.5 times compared to 2016, and as of 2018, the hydrogen issue has shifted from an environmental aspect to an economic aspect. In addition, although the initial government-led hydrogen industry is expanding to the mobility field such as privately-led fuel cell electric vehicles and hydrogen fuel, terms showing concerns about the safety such as explosions are constantly being exposed. Thus, it is necessary not only to expand the hydrogen ecosystem through the participation of private companies, but also to promote hydrogen safety.

• Journal of The Korean Association For Science Education
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• v.42 no.1
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• pp.33-49
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• 2022

This study aims to explore, using both quantitative and qualitative data analyzing the structural relationship between creative process and product, the types of elementary students' scientific creativity. For this, 105 fifth-graders responded to a scientific creativity test that assesses creative process and product, and four students who scored the highest were interviewed. In the interview, they were asked about the cognitive process they used in generating the creative product. Then, correlation analysis and structural equation modeling were used, along with the interview data, to type the students. The main findings of the study are as follows. First, the structural equation modeling of creative process and product gave satisfactory results in absolute and incremental fit indexes. Second, among the three components of creative process - knowledge, inquiry skill-observation, and creative thinking skills -, only creative thinking skills had significant effects on creative product. Third, divergent thinking skills had the strongest correlation with the creative product, followed by convergent thinking skills. Associational thinking skills did not have significant correlation. Fourth, elementary students' scientific creativity could be categorized into Creative Type, Useful Type, Original Type, and Non-creative Type, based on their creative product. The Non-creative Type could be further classified into Common Type, Repetitive Type, Non-response Type, Irrelevant Type, and Abstract Type. Fifth, most students used either knowledge or observation in their creative process, making them either Knowledge-oriented Type or Observation-oriented Type. In addition, there were DT Type, DT-CT Type, and DT-CT-AT Type among the students, based on the kinds of creative thinking skills they mainly used in the process. This study provides implications for educators and researchers in scientific creativity education.

• Journal of Korea Water Resources Association
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• v.53 no.1
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• pp.1-13
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• 2020

The most common approach for computing engineering flow problems at high Reynolds number is still the Reynolds-averaged Navier-Stokes (RANS) computations based on turbulence models with wall functions. The recently developed generalized wall functions blending between the wall-limiting viscous and the outer logarithmic relations ensure a smooth transition of flow quantities across two regions. The performances and convergence properties of widely used turbulence models with wall functions that are applicable for turbulence kinetic energy (TKE), turbulent and specific dissipation rates, and eddy viscosity are presented through a series of near wall flow simulations. The present results show that RNG k-𝜖 model should be carefully applied with small tolerance to get the stable solution when the first grid lies in the buffer layer. The standard k-𝜖 and RNG k-𝜖 models are not sensitive to the selection of wall functions for both TKE and eddy viscosity, while the k-ω SST model should be applied together with kL-wall function for TKE and nutUB-wall functions for eddy viscosity to ensure accurate and stable boundary conditions. The applications to a backward-facing step flow at Re=155,000 reveal that the reattachment length is reasonably well predicted on appropriately refined mesh by all turbulence models, except the standard k-𝜖 model which about 13% underestimates the reattachment length regardless of the grid refinement.