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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Research data on pavement texture changes for D6.5

Authors: Bogdan, Muresan; Laurence, Lumière; Ropert, Christophe; Augris, Pierre; Guilloux, Angélique;

Research data on pavement texture changes for D6.5

Abstract

In-situ surface texture measurements Three different tests were conducted to monitor the evolution in the NEMO micro-texture of the carousel pavements (S1-S4): British pendulum (SRT), Dynamic Friction Tester (DFT) and T2GO. Measurements were taken at three different locations per section in the initial state and at increasing numbers of cycles : 0, 20,000, 50,000, 100,000, 200,000, 500,000, 750,000 and 1 million load cycles. The macrotexture of NEMO pavements was evaluated using two complementary techniques. The first is a classical volumetric techniques called the sand patch test. According to this techniques, the macrotexture is approached by mean texture depth (MTD). The second technique relies on the profilometry according to ISO EN 13473-1 standard. Two devices named Elatextur and LTS9500 measure the depth of surface roughness using a laser beam. The Elatextur laser scan has a width 400 mm diameter and a 0.2 mm of path while the LTS9500 scans a 4″ x 4″ area with a lateral resolution of less than 0.5 mm

Keywords

accelerated tests, Innovative pavements, texture evolutions, mIcro-textures, macro-textures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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