공기 중 축산질병 확산예측을 위한 오픈폼 도입 및 검증
Validation and Application of OpenFOAM for Prediction of Livestock Airborne Virus Spread
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초록
Accurate wind data is essential for predicting airborne spread of virus. OpenFOAM was used for computational fluid dynamics(CFD) simulation procedure which is under GNU GPL (General Public License). Using complex terrain, DEM (Digital Elevation Map)that was prepared from GIS information covering a research site is converted to a three dimensional surface mesh that is composedby quad and full hexahedral space meshes. Around this surface mesh, an extended computational domain volume was designed. Atmospheric flow boundary conditions were used at inlet and roughness height and was considered at terrain by using rough wallfunction. Two different wind conditions that was relatively stable during certain periods were compared in 3 different locations forvalidating the accuracy of the CFD computed solution. The result shows about 10 % of difference between the calculated result andmeasured data. This procedure can simulate a prediction of time-series data for airborne virus spread that can be used to make aweb-based forecasting system of airborne virus spread.
Abstract
Accurate wind data is essential for predicting airborne spread of virus. OpenFOAM was used for computational fluid dynamics(CFD) simulation procedure which is under GNU GPL (General Public License). Using complex terrain, DEM (Digital Elevation Map)that was prepared from GIS information covering a research site is converted to a three dimensional surface mesh that is composedby quad and full hexahedral space meshes. Around this surface mesh, an extended computational domain volume was designed. Atmospheric flow boundary conditions were used at inlet and roughness height and was considered at terrain by using rough wallfunction. Two different wind conditions that was relatively stable during certain periods were compared in 3 different locations forvalidating the accuracy of the CFD computed solution. The result shows about 10 % of difference between the calculated result andmeasured data. This procedure can simulate a prediction of time-series data for airborne virus spread that can be used to make aweb-based forecasting system of airborne virus spread.
참고문헌 (6)
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