Data underlying the research on Male Time-Trial GCM: A complete rider-bike geometry & the effects of Reynolds number and yaw angle variations on the aerodynamic loads and the surrounding flow

This dataset contains new data concerning the male time-trial GCM that was originally introduced by Terra et al. 2024 (DOI:10.4121/a6bafb56-588e-40cd-a304-4a1cd61a312d). In the original dataset, the geometry of, among others, the bike and helmet are missing. After scannign the complete mannequin setup, these are now available. The geometry is used for CFD simulations that will be accompanied by PIV and load balance data in the wind tunnel. Conditions of non-zero yaw and varying Reynolds numbers (freestream speed) are considered. This should provide more insight into the flow around a cyclist in various cross-wind conditions. The dataset is also part of the growing Generic Cylist Model benchmark database (DOI:10.4121/1fff941e-cbcc-485b-8b5f-7f8c0899e131).<br>Folders v1 and v2 contain the geometry of the GCM/bike/helmet.<br>v1: This folder contains the geometries of the bike, rider, wheels and helmet as they result from the scanning and initial post-processing. Only the wheels have been specifically adapted to ensure axis-symmetry. An assembled geometry is also provided. <br>v2: The v1 assembled geometry has been modified to provide a validated triangular computational surface grid. A rear gear cassette has been included, and small gaps on the assembled geometry have been covered. The shape has also been slightly smoothed, among others, to remedy scanning artifacts. Note, that some artifacts remain (e.g. wavy surface of mannequin) which may be further removed through more aggressive smoothing. A mesh file is also available that devides the rider body into different areas such as left arm, right arm etc.<br>In the coming months this dataset will be expanded with new flow data obtained from wind tunnel experiments and CFD simulations.

本数据集包含针对男性计时赛通用自行车手模型（Generic Cyclist Model，GCM）的新增数据，该模型最初由Terra等人于2024年提出（DOI:10.4121/a6bafb56-588e-40cd-a304-4a1cd61a312d）。原始数据集缺失自行车、头盔等部件的几何模型，在完成完整人体模型装置的扫描后，此类几何数据现已可获取。该几何模型将用于计算流体动力学（Computational Fluid Dynamics，CFD）仿真，后续将搭配风洞实验中的粒子图像测速（Particle Image Velocimetry，PIV）与载荷平衡数据使用。本数据集涵盖非零偏航角与变化的雷诺数（来流速度）工况，可为深入解析不同侧风条件下自行车手周边的流场分布提供支撑。本数据集同时隶属于不断扩充的通用自行车手模型基准数据库（DOI:10.4121/1fff941e-cbcc-485b-8b5f-7f8c0899e131）。<br>文件夹v1与v2存储了GCM、自行车及头盔的几何模型。<br>v1：该文件夹包含经扫描与初始后处理得到的自行车、车手、车轮与头盔几何模型，仅针对车轮进行了轴对称适配处理，同时提供了组装完成的整体几何模型。<br>v2：基于v1的组装几何模型进行了优化，生成了经过验证的三角形计算表面网格。新增了后飞轮组，填补了组装几何模型上的细小缝隙，并对模型形状进行了轻度平滑处理以修复扫描伪影。需注意，部分伪影（如人体模型表面的波纹状瑕疵）仍存在，可通过更强程度的平滑操作进一步去除。此外还提供了将车手身体划分为左臂、右臂等不同区域的网格划分文件。<br>未来数月内，本数据集将新增风洞实验与CFD仿真得到的流动数据，实现进一步扩充。