Partitioning of road surfaces
TIAN ; CESBRON
Type de document
RAPPORT D'ETUDE
Langue
anglais
Auteur
TIAN ; CESBRON
Résumé / Abstract
This report deals with partioning of road surfaces within the framework of WP3 ODSurf project aiming at the improvement of rolling noise prediction models. Dynamic contact between the tyre and the road generates tyre/road noise sources like vibrations and air-pumping. Tyre/road contact forces can be efficiently estimated by means of a multi-asperity approach. Previous works have shown that the accuracy of the method depends on a good partitioning of the road surface and on the local contact laws identified on the asperities. This work focuses on the partitioning of road surfaces. A new Python™ code based on an iterative threshoding method and watershed segmentation has been developed. The code was successfully tested on nine road surfaces measured during the last P2RN project (2006-2009) and then applied on nine road surfaces measured within the ODSurf project by means of a new 3D texture measurement system. Regarding the topography of road surfaces, it is concluded that Python™ code gives a better partition than the former Matlab® code, with less computational efforts.
