論文・報告
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本報では、LESによる数値流体解析において流入境界条件を数値的に生成する手法であるConsistent Discrete Random Flow Generation（Consistent Discrete RFG；CDRFG）法の概要と、3,380万メッシュ規模の数値計算への適用事例を示す。CDRFG法により、流入変動風の風速プロファイルの基本的な特性を良好に再現できた。高層建物モデルへの適用では、風向に正対する前面の風圧係数と風方向の風力スペクトルについて、既往の風洞実験結果を精度よく再現可能であった。一方、主に側面の風圧係数の再現性に課題が認められ、風直交方向の風力予測の精度向上に今後取り組む必要がある。 キーワード : CFD、LES, Random Flow Generation(RFG) 、流入変動風、高層建築物、風圧係数、風洞実験 |
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This study presents an overview of the Consistent Discrete Random Flow Generation (CDRFG) method, an efficient approach for generating synthetic inflow boundary conditions in Large Eddy Simulation frameworks. The method is implemented in a high-resolution computational fluid dynamics simulation comprising approximately 33.8 million mesh elements. The CDRFG technique successfully reproduces key characteristics of the vertical wind profile. Additionally, when applied to a high-rise building model, the front face pressure and along-wind force spectra in the wind direction are accurately reproduced. However, issues are identified in the reproducibility of wind pressure on side faces, and further efforts are needed to improve the accuracy of wind force predictions in the across-wind direction. Keywords : CFD, LES, Random flow generation (RFG), Turbulence flow, High-rise buildings, Wind pressure coefficient, Wind tunnel experiment |
論文