풍동실험을 통한 방풍용 서양측백나무와 농업용방풍망의 공기역학계수 평가
Wind Tunnel Evaluation of Aerodynamic Coefficients of Thuja Occidentalis and Mesh Net
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초록
Windbreak forests, which have a windproof effect against strong winds, are known to be effective in reducing the spread of odors and dust emittedfrom livestock farms. The effect of reducing the spread of odors and dust can be estimated through numerical models such as computational fluiddynamics, which require aerodynamic coefficients of the windbreaks for accurate prediction of their performance. In this study, we aimed to evaluatethe aerodynamic coefficients, Co, C1, C2, and α, of two windbreaks, Thuja Occidentalis and a mesh net, through wind tunnel experiments. Theaerodynamic coefficients were derived by the relation between the incoming wind speed and the pressure loss due to the windbreaks which wasmeasured by differential pressure sensors. In order to estimate the change in the aerodynamic coefficient concerning various leaf density, the experimentswere conducted repeatedly by removing the leaves gradually in various stages. The results showed that the power law regression model more suitablefor coefficient evaluation compared to the Darcy-Forchheimer model.
Abstract
Windbreak forests, which have a windproof effect against strong winds, are known to be effective in reducing the spread of odors and dust emittedfrom livestock farms. The effect of reducing the spread of odors and dust can be estimated through numerical models such as computational fluiddynamics, which require aerodynamic coefficients of the windbreaks for accurate prediction of their performance. In this study, we aimed to evaluatethe aerodynamic coefficients, Co, C1, C2, and α, of two windbreaks, Thuja Occidentalis and a mesh net, through wind tunnel experiments. Theaerodynamic coefficients were derived by the relation between the incoming wind speed and the pressure loss due to the windbreaks which wasmeasured by differential pressure sensors. In order to estimate the change in the aerodynamic coefficient concerning various leaf density, the experimentswere conducted repeatedly by removing the leaves gradually in various stages. The results showed that the power law regression model more suitablefor coefficient evaluation compared to the Darcy-Forchheimer model.
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