Dataset for Dynamic Modulus Prediction: GRA-MLR Compared with Sigmoidal Modelling for Asphalt Mixtures with Reclaimed Asphalt within Weave-UNISONO 2021 project NCN project No 2021/03/Y/ST8/00079, and GACR project GA22-04047K

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Main Authors: Belhaj, Majda, Valentin, Jan, Baldo, Nicola, Krol, Jan
Format: Recurso digital
Language:English
Published: Zenodo 2025
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author Belhaj, Majda
Valentin, Jan
Baldo, Nicola
Krol, Jan
author_facet Belhaj, Majda
Valentin, Jan
Baldo, Nicola
Krol, Jan
contents <div><strong>Summary:</strong></div> <div>A total of 62 asphalt concrete (AC) mixtures were investigated. They involved three grading types (AC 11, AC 16, AC 22), four bitumen types (50/70, 70/100, 160/220, PMB), and four reclaimed asphalt contents (20%, 30%, 40%, 50%). </div> <div>Two testing methods were used: the 4-point bending test on prismatic specimens (4PB–PR) at 10Hz and temperature 0°C, 10°C, 20°C and 20°C, and the indirect tension test on cylindrical specimens (IT-CY) at 0°C, 15°C and 27°C.</div> <div> </div> <div><strong>The dataset includes:</strong></div> <div>Outcomes of the experimental carried out on AC 11, AC 16,  AC 22 mixtures:</div> <div>01 bitumen_Infrastructures.csv</div> <div>02 basic properties HMA.csv</div> <div>03 stiffness modulus IT-CY.csv</div> <div>04 dynamic modulus.csv </div>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20315284
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Dataset for Dynamic Modulus Prediction: GRA-MLR Compared with Sigmoidal Modelling for Asphalt Mixtures with Reclaimed Asphalt within Weave-UNISONO 2021 project NCN project No 2021/03/Y/ST8/00079, and GACR project GA22-04047K
Belhaj, Majda
Valentin, Jan
Baldo, Nicola
Krol, Jan
dynamic modulus
asphalt mixtures
4PB–PR
IT-CY
<div><strong>Summary:</strong></div> <div>A total of 62 asphalt concrete (AC) mixtures were investigated. They involved three grading types (AC 11, AC 16, AC 22), four bitumen types (50/70, 70/100, 160/220, PMB), and four reclaimed asphalt contents (20%, 30%, 40%, 50%). </div> <div>Two testing methods were used: the 4-point bending test on prismatic specimens (4PB–PR) at 10Hz and temperature 0°C, 10°C, 20°C and 20°C, and the indirect tension test on cylindrical specimens (IT-CY) at 0°C, 15°C and 27°C.</div> <div> </div> <div><strong>The dataset includes:</strong></div> <div>Outcomes of the experimental carried out on AC 11, AC 16,  AC 22 mixtures:</div> <div>01 bitumen_Infrastructures.csv</div> <div>02 basic properties HMA.csv</div> <div>03 stiffness modulus IT-CY.csv</div> <div>04 dynamic modulus.csv </div>
title Dataset for Dynamic Modulus Prediction: GRA-MLR Compared with Sigmoidal Modelling for Asphalt Mixtures with Reclaimed Asphalt within Weave-UNISONO 2021 project NCN project No 2021/03/Y/ST8/00079, and GACR project GA22-04047K
topic dynamic modulus
asphalt mixtures
4PB–PR
IT-CY
url https://doi.org/10.5281/zenodo.20315284