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ShareScore release 0.9.0
Dataset results
2 results for “reclaimed asphalt pavement”
Data from paper "Impact of milling machine parameters on the properties of reclaimed asphalt pavement"
<p>The dataset includes test results of road cores and samples gathered from the same locations after milling of asphalt pavement. Milling machine parameters, including moving speed, milling depth, and drum rotational speed were intentionally varied during milling. Results from four jobsites are included in the dataset. The results include binder content, penetration, softening point, coarse and fine aggregate flow coefficients, gradation of RAP, gradation of extracted RAP aggregates, as well as the calculated chunk, breakdown, and filler increase indexes. These three indexes were used to quantitatively characterize the milling operations.</p>
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). The data was used to develop and validate three indexes – 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: <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>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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