A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Prediction of Hydroplaning Potential from Runoff Characteristics of Highway Pavements
A computer program, HYDROP, was developed to predict hydroplaning potential resulting from uniform rainfall of any intensity on sections of highway pavement with varying degrees of topographic irregularity. The program uses a kinematic-wave approximation to the shallow water equations of overland flow to estimate runoff depths over a pavement surface defined by detailed topographic data. Maximum ponded depths during rainfall are estimated, but no attempt is made to predict the duration or magnitude of ponding after the rainfall stops. The results of two prior studies are used by the program to predict from the water depths the minimum vehicle speed that might initiate hydroplaning. The agreement of the program output with water depth data taken during the study is reasonable and consistent with the level of predictability of the hydroplaning criteria used. HYDROP is considered a viable alternative to the current state-of-the-art method in predicting runoff depths, which is a regression equation developed from data taken on a textured pavement surface without irregularities such as ruts, grooves, depressions. The density and precision of topographic data acquisition necessary for an accurate analysis of hydroplaning are discussed.
Prediction of Hydroplaning Potential from Runoff Characteristics of Highway Pavements
A computer program, HYDROP, was developed to predict hydroplaning potential resulting from uniform rainfall of any intensity on sections of highway pavement with varying degrees of topographic irregularity. The program uses a kinematic-wave approximation to the shallow water equations of overland flow to estimate runoff depths over a pavement surface defined by detailed topographic data. Maximum ponded depths during rainfall are estimated, but no attempt is made to predict the duration or magnitude of ponding after the rainfall stops. The results of two prior studies are used by the program to predict from the water depths the minimum vehicle speed that might initiate hydroplaning. The agreement of the program output with water depth data taken during the study is reasonable and consistent with the level of predictability of the hydroplaning criteria used. HYDROP is considered a viable alternative to the current state-of-the-art method in predicting runoff depths, which is a regression equation developed from data taken on a textured pavement surface without irregularities such as ruts, grooves, depressions. The density and precision of topographic data acquisition necessary for an accurate analysis of hydroplaning are discussed.
Prediction of Hydroplaning Potential from Runoff Characteristics of Highway Pavements
J. R. Reed (author) / D. F. Kibler (author) / R. S. Heubner (author) / G. W. Marks (author)
1985
166 pages
Report
No indication
English
Effectiveness of superhydrophobic material on the hydroplaning risk of asphalt pavements
| Taylor & Francis Verlag | 2021
Hydroplaning speed and infrastructure characteristics
| Tema Archive | 2010
NUMERICAL SIMULATION OF STORMWATER RUNOFF FROM HIGHWAY PAVEMENTS THROUGH SUPERELEVATION TRANSITIONS
| British Library Conference Proceedings | 2007