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강승규 대한교통학회 1995 대한교통학회지 Vol.13 No.2
This paper discusses some of the results of investigation of railroad-highway grade crossing accidents and accident-related inventory information that was collected from the Pusan District Office of the Korean National Railroads. Established statistical techniques were applied to tabulated data to obtain an accident prediction equation that estimates the expected probability of accidents at each crossing under various grade crossing situations. It was found that the most significant factor that influences the railroad crossing accidents was flagger. The other factors were train and traffic volumes, number of tracks. crossing angle, maximum timetable train speed, algebraic grade difference, and lighting facility. No significant effects was identified with railroad crossing gates. The results of the analysis and the uses of the prediction equation for the development of warrants for safety improvements are also discussed.
기술적 연계구조와 국내 제조업의 유형별 제품혁신 요인 분석
강승규,전주용,박재민 경성대학교 산업개발연구소 2017 산업혁신연구 Vol.33 No.2
본 연구의 목적은 산업유형에 따른 혁신패턴의 차이가 기술혁신성과에 미치는 영향을 분석하는데 있다. 그동안 선행연구들은 산업별 차이를 단순히 산업 더미의 형태로 간략히 실증분석에 반영하여 왔다. 하지만 산업 고유의 혁신유형이 고려되지 않는다는 것은 분석 상의 한계이며, 적용가능성 높은 함의를 도출하기 어렵다고 하겠다. 이 같은 문제의식에 따라 본 논문은 우선 R&D 활동을 기술집약과 기술확산으로 구분하였다. 다음으로 ‘확장된 산업연관모형’을 바탕으로 산업간 기술적 연계구조를 바탕으로 각 산업의 혁신패턴을 분석하고, 산업을 4개의 산업유형으로 분류하였다. 그리고 각 산업유형에 대해 제품혁신 성과를 종속변수로 하여 어떤 혁신요소가 유의하게 기능하는지 분석하였다. 분석 결과, 산업유형에 따른 혁신패턴의 차이가 존재하며, 혁신활동의 성과 뿐 아니라 혁신원천이나 혁신보호방법에서도 폭넓은 차이를 확인할 수 있었다. 이 같은 결과는 기업혁신지원정책이 산업의 특징 및 혁신패턴을 고려해 설계되어야 함을 함의한다고 하겠다. It is widely known that there is difference in technological innovation pattern by industries. Several researches on technological innovation have reflected the difference by industries as a simple industrial classification or dummy to empirical model. If the sectoral differences and uniqueness in innovation are not considered, it will be difficult to deduce implication applicable to the industries. In consideration of this issue, this paper distinguished innovation pattern of four categoreis on the basis of technological linkages among industries according to technological intensity and diffusion based on ‘R&D extended Input-output Model’ where R&D activities are explicitly reflected. Taking the product innovation as a dependent variable, different roles of innovation activities and characteristics were analyzed for each sectoral categories. As a result, we found a difference in the innovation pattern by the categories. Furthermore, the difference was widely found for the innovation source or protective strategies as well as innovation activity.
수소충전소 안전거리 설정을 위한 수소제트 및 화염 특성 분석
강승규 한국가스학회 2019 한국가스학회지 Vol.23 No.6
Hydrogen refueling stations that use compressed hydrogen at high pressure provide safety distances between facilities in order to ensure safety. Most accidents occurring in hydrogen stations are accidental leaks. When a leak occurs, various types of ignition sources generate a jet flame. Therefore, the analysis of leaked gas diffusion and jet flame due to high pressure hydrogen leakage is one of the most important factor for setting the safety distance. In this study, the leakage accidents that occur in the hydrogen refueling station operated in high pressure environment are simulated for various leakage source sizes. The results of this study will be used as a reference for the future safety standards. 수소를 고압으로 압축하여 사용하는 수소충전소는 안전 확보를 위해 설비간의 안전거리를 규정하고 있다. 수소충전소에서 발생하는 사고 중 대부분의 사고는 누출사고이며, 누출 시 점화로 인해 제트화염이 생성된다. 고압의수소 누출로 인한 가스 확산 및 제트화염의 해석은 안전거리 설정에 가장 중요한 요소이다. 본 연구에서는 고압의환경에서 운용되는 수소충전소에서 발생할 수 있는 누출사고를 대비한 안전관리 규정 도출을 위하여 누출원 크기별 누출조건을 모사하고 위험거리 등을 파악하여 향후 안전기준 제정 시 참고자료로 활용하고자 한다.
강승규,윤준용,이도형,Kang, Seung-Kyu,Yoon, Joon-Yong,Lee, Do-Hyung 대한기계학회 2002 大韓機械學會論文集B Vol.26 No.6
A numerical analysis of turbulent gas-particle two-phase flow is performed in conjunction with the experiments of Fackrell & Robins and Raupach & Legg that considered ground-level source and/or elevated source flat plate flow. K-$\omega$ turbulence model is used in order to analyze fully turbulent flow field and the concentration equation with settling velocity is adopted for the concentration field. The model of Einstein and Chien is applied that couples the velocity field and the concentration field. Turbulent eddy viscosity is re-evaluated in this model. The present numerical results have good agreement between the simulation and the experimental data for the mean flow velocities and particle concentrations. While the previous study shows about 27% error in the vicinity of the source of particle concentration, the .present study allows about 14% error. A new turbulent gas-particle flow model developed by this study is able to cut down error by 13% at a near source.