Leveraging CFD to Improve Pedestrian Safety at Culverts

Abstract

Ensuring pedestrian safety near culvert headwalls and pipes is crucial in urban infrastructure planning. This study analyses the impact of suction velocities on pedestrian safety at culverts using Computational Fluid Dynamics (CFD) simulations. By modeling various culvert configurations and headwall designs, the modelling identifies potential hazards posed by high suction velocities that could endanger pedestrians.

The CFD analysis offers a detailed assessment of flow patterns and suction forces in different scenarios, which are then compared with existing literature to validate the findings and understand broader implications. This comparative approach enables a comprehensive evaluation of current safety standards and identifies areas for improvement.

The results indicate an improved understanding in pedestrian safety risks based on culvert design and flow conditions. This study contributes to ongoing efforts to create safer urban environments by integrating advanced simulation techniques with practical engineering solutions.