Hydroplaning contributes to approximately 20% of traffic accidents during adverse
weather conditions, with factors such as velocity, water film thickness, tire
inflation, and vehicle weight playing significant roles. This study aims to
simulate the hydroplaning phenomenon using a fluid–structure interaction model
based on the coupled Eulerian–Lagrangian (CEL) capabilities of ABAQUS. Results
reveal that vehicle linear velocity is a key determinant of hydroplaning risk,
with a positive correlation observed. The findings suggest maintaining speeds
under 50 km/h to mitigate hydroplaning risk, contingent on well-maintained,
properly inflated tires. Multiple linear regression analysis further
demonstrates correlations among velocity, tire inflation, quarter vehicle load,
and water film thickness in predicting the reaction force between the tire and
roadway. The proposed scheme provides a predictive mechanism for hydroplaning
risk under varying conditions, offering valuable insights into prevention
strategies.
The proposed scheme offers a valuable predictive mechanism for understanding and
mitigating hydroplaning risk by analyzing key environmental and vehicle
parameters. It identifies the critical factors influencing hydroplaning,
including velocity, tire inflation, water film thickness, and vehicle load,
while offering actionable insights to reduce risk. By employing advanced
simulation techniques, specifically ABAQUS with CEL capabilities, the model
provides a realistic and accurate representation of the hydroplaning phenomenon.
Furthermore, the correlation analysis offers a comprehensive understanding of
the relationship between multiple variables, enabling risk assessment under
varying conditions. This approach not only highlights the underlying physics of
hydroplaning but also supports evidence-based strategies for risk reduction and
improved vehicle safety.
