格子ボルツマン法を用いた競技用自転車の空力特性の評価

抄録

Reducing the aerodynamic drag of a competition bicycle-helmet is an important issue because it can affect race results. Since the riding posture of each rider is different, data for simulation analysis of fluid motion is obtained and analyzed for each rider. In addition, the regulations for racing helmets change frequently, so aerodynamic simulation of complex geometries must be performed in a short time span, including the pre-post processing. In this study, we evaluated the accuracy of LBM, which is an orthogonal mesh analysis, when applied to bicycle analysis, and discussed the problems involved. It was found that LBM analysis can achieve the same level of accuracy as NS analysis when the lattice resolution is the same as that of NS analysis. It was also confirmed that there are appropriate values for the object and grid size for object recognition, and that the time required for analysis can be reduced and the size of the computer required for analysis can be reduced by applying LBM.