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dc.contributor.authorBouzidi, Abdelaziz-
dc.contributor.authorBoumendjel, Anfal-
dc.contributor.otherAdnane, Mourad, Directeur de thèse-
dc.contributor.otherSedjal, Hamid, Directeur de thèse-
dc.contributor.otherPinel, Nicolas, Directeur de thèse-
dc.date.accessioned2022-09-13T13:54:36Z-
dc.date.available2022-09-13T13:54:36Z-
dc.date.issued2022-
dc.identifier.otherEP00420-
dc.identifier.urihttp://repository.enp.edu.dz/jspui/handle/123456789/10544-
dc.descriptionMémoire 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 : 2022fr_FR
dc.description.abstractThroughout 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 conditionfr_FR
dc.language.isoenfr_FR
dc.subjectSurface texture characterizationfr_FR
dc.subjectMTD (Mean Texture Depth)fr_FR
dc.subjectlaser triangulationfr_FR
dc.titleNondestructive approach for pavement surface roughness assessmentfr_FR
dc.typeThesisfr_FR
Collection(s) :Département Electronique

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