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Dataset for the paper "Three indexes to characterize crushing and screening of reclaimed asphalt pavement"

<p>The dataset includes Reclaimed Asphalt Pavement (RAP) grading curve testing results from seven different materials that were produced using four different full-scale aggregate crushing machines. Samples of the same material before and immediately after crushing were obtained. The grading curves include white RAP (aggregates without bitumen) and black RAP (reclaimed asphalt together with bitumen).&nbsp;The data was used to develop and validate three indexes &ndash; chunk, breakdown, and filler increase indexes. These indexes can be used to quantitatively characterize crushing equipment and to optimize the crushing parameters.</p> <p>When using, please cite the paper:&nbsp;<a href="https://doi.org/10.1080/10298436.2021.1990287">Zaumanis M., et al. (2021). Three indexes to characterize processing of reclaimed asphalt pavement, International Journal of Pavement Engineering. DOI: https://doi.org/10.1080/10298436.2021.1990287</a></p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
January 17, 2021
License
cc-by-4.0
DOI
10.5281/zenodo.4446825

Scored with release 0.9.0

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