Skip to main navigation Skip to search Skip to main content

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

Dataset

Description

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).

Folders v1 and v2 contain the geometry of the GCM/bike/helmet.

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.


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.

In the coming months this dataset will be expanded with new flow data obtained from wind tunnel experiments and CFD simulations.
Date made available25 Nov 2025
PublisherTU Delft - 4TU.ResearchData

Cite this