dc.contributor.author |
Bouzidi, Abdelaziz |
|
dc.contributor.author |
Boumendjel, Anfal |
|
dc.contributor.other |
Adnane, Mourad, Directeur de thèse |
|
dc.contributor.other |
Sedjal, Hamid, Directeur de thèse |
|
dc.contributor.other |
Pinel, Nicolas, Directeur de thèse |
|
dc.date.accessioned |
2022-09-13T13:54:36Z |
|
dc.date.available |
2022-09-13T13:54:36Z |
|
dc.date.issued |
2022 |
|
dc.identifier.other |
EP00420 |
|
dc.identifier.uri |
http://repository.enp.edu.dz/jspui/handle/123456789/10544 |
|
dc.description |
Mémoire de Projet de Fin d’Études : Électronique : Alger, École Nationale Polytechnique : 2022
Mémoire de Projet de Fin d’Études : Génie Mécanique : Alger, École Nationale Polytechnique : 2022 |
fr_FR |
dc.description.abstract |
Throughout history, roads have been considered one of the most critical infrastructures for people. Nevertheless, it is not only about building roads, the most important thing is to maintain them, keep them safe, and use them as efficiently as possible. That is why we are offering a new, faster, more precise, and labor-saving way to characterize our roads’ texture. We study a framework that can replace traditional methods used for surface characterization, an instrument that can provide metrics defined by international normalization organisms, such as the MTD (Mean Texture Depth), by using laser triangulation, which offers valuable information on the pavement surface condition |
fr_FR |
dc.language.iso |
en |
fr_FR |
dc.subject |
Surface texture characterization |
fr_FR |
dc.subject |
MTD (Mean Texture Depth) |
fr_FR |
dc.subject |
laser triangulation |
fr_FR |
dc.title |
Nondestructive approach for pavement surface roughness assessment |
fr_FR |
dc.type |
Thesis |
fr_FR |