http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Development of 2D inundation model based on adaptive cut cell mesh (K-Flood)
An Hyunuk,Jeong Anchul,Kim Yeonsu,Noh Joonwoo 한국수자원학회 2018 한국수자원학회논문집 Vol.51 No.10
본 연구에서는 적응적 분할격자기반 2차원 침수해석모형 K-Flood를 개발하였다. 분할격자기법은 흐름 특성을 기반으로 격자를 분할하여 흐름영역과 비흐름영역으로 구분하는 격자생성기법이며, 분할격자기법과 격자세분화기법을 동시에 활용하면 매우 적은 수의 격자로 복잡한 형상의 흐름 영역을 표현할 수 있어 효율적인 모의가 가능하다. 특히 최근 도시홍수에 대해 매우 정밀한 해상도의 자료와 격자를 이용하여 보다 정확한 침수해석 또는 예보를 하고자 하는 시도가 늘어나고 있으며, K-Flood는 이러한 복잡한 흐름영역의 계산 시 적응적 분할격자를 활용하여 효율적인 격자생성이 가능하다. 공간 및 시간에 대해 2차 정확도의 유한체적 수치해법이 적용되었다. K-Flood의 검증을 위해 2차원 침수해석모형의 검증에 널리 사용되고 있는 1) 원형 실린더에 의한 충격파 반사 모의, 2) 도시홍수실험 모의, 3) Malpasset 댐붕괴 모의를 수행하였다. 모든 모의에서 관측자료 및 과거의 모의결과와 비교하여 성공적으로 K-Flood의 성능을 검증하였다. An adaptive cut-cell grid based 2D inundation analysis model, K-Flood, is developed in this study. Cut cell grid method divides a grid into a flow area and a non-flow area depending the characteristics of the flows. With adaptive mesh refinement technique cut cell method can represent complex flow area using relatively small number of cells. In recent years, the urban inundation modeling using high resolution and fine quality data is increasing to achieve more accurate flood analysis or flood forecasting. K-Flood has potential to simulate such complex urban inundation using efficient grid generation technique. A finite volume numerical scheme of second order accuracy for space and time was applied. For verification of K-Flood, 1) shockwave reflex simulation by circular cylinder, 2) urban flood experiment simulation, 3) Malpasset dam collapse simulation are performed and the results are compared with observed data and previous simulation results.
Hyunuk Kim,Hongil Park,Ju-Ho Lee,이은성,오경택,윤정현,Eun-Seok Park,Kang Choon Lee,윤유석 한국약제학회 2010 Journal of Pharmaceutical Investigation Vol.40 No.4
Porous poly(lactic-co-glycolic acid) microspheres (PLGA MS) have been utilized as an inhalation delivery system and a matrix scaffold system for tissue engineering. Here, gelatin (type A) is introduced as an extractable pH-responsive porogen, which is capable of controlling the porosity and pore size of PLGA microspheres. Porous PLGA microspheres were prepared by a water-in-oil-in-water (w1/o/w2) double emulsification/solvent evaporation method. The surface morphology of these microspheres was examined by varying pH (2.0~11.0) of water phases, using scanning electron microscopy (SEM). Also, their porosity and pore size were monitored by altering acidification time (1~5 h) using a phosphoric acid solution. Results showed that the pore-forming capability of gelatin was optimized at pH 5.0, and that the surface pore-formation was not significantly observed at pHs of < 4.0 or > 8.0. This was attributable to the balance between gel-formation by electrostatic repulsion and dissolution of gelatin. The appropriate time-selection between PLGA hardening and gelatin-washing out was considered as a second significant factor to control the porosity. Delaying the acidification time to ~5 h after emulsification was clearly effective to make pores in the microspheres. This finding suggests that the porosity and pore size of porous microspheres using gelatin can be significantly controlled depending on water phase pH and gelatin-removal time. The results obtained in this study would provide valuable pharmaceutical information to prepare porous PLGA MS, which is required to control the porosity.