TY - JOUR
T1 - Impact of Asphalt Concrete Properties on the Illinois Flexibility Index Cracking and Hamburg Wheel Tracking Test Rutting Potential
AU - Rivera-Pérez, José J.
AU - Al-Qadi, Imad L.
N1 - Publisher Copyright:
© 2023 American Society of Civil Engineers.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Superpave balanced mix design (BMD) approaches have been adopted using the Illinois Flexibility Index test (I-FIT) for cracking and Hamburg wheel tracking test (HWTT) for rutting. The objective of this study was to evaluate the impact of the asphalt concrete (AC) properties on I-FIT's flexibility index and HWTT's rut depth. The study was intended to determine the most important parameters the influence the prediction of flexibility index and rut depth. An extensive database of I-FIT and HWTT results was collected from the Illinois Department of Transportation. A total of 18,594 I-FIT data sets were collected from 2061 mix designs. For HWTT, 8,263 data sets were collected from 3,782 mix designs. Data exploration analysis was conducted to evaluate the impact of the AC properties on the I-FIT and the HWTT results. Finally, feature ranking analysis was performed to determine the properties that significantly influence the flexibility index and rut depth. The result indicates that most of the AC properties identified in the database had an impact on flexibility index and rut depth. To rank the influential parameters, a random forest regression model was developed to execute recursive feature elimination analysis. The parameters Gmb, recycled content, air voids, and asphalt binder replacement were the most impactful on flexibility index and rut depth results.
AB - Superpave balanced mix design (BMD) approaches have been adopted using the Illinois Flexibility Index test (I-FIT) for cracking and Hamburg wheel tracking test (HWTT) for rutting. The objective of this study was to evaluate the impact of the asphalt concrete (AC) properties on I-FIT's flexibility index and HWTT's rut depth. The study was intended to determine the most important parameters the influence the prediction of flexibility index and rut depth. An extensive database of I-FIT and HWTT results was collected from the Illinois Department of Transportation. A total of 18,594 I-FIT data sets were collected from 2061 mix designs. For HWTT, 8,263 data sets were collected from 3,782 mix designs. Data exploration analysis was conducted to evaluate the impact of the AC properties on the I-FIT and the HWTT results. Finally, feature ranking analysis was performed to determine the properties that significantly influence the flexibility index and rut depth. The result indicates that most of the AC properties identified in the database had an impact on flexibility index and rut depth. To rank the influential parameters, a random forest regression model was developed to execute recursive feature elimination analysis. The parameters Gmb, recycled content, air voids, and asphalt binder replacement were the most impactful on flexibility index and rut depth results.
KW - Asphalt binder replacement
KW - Asphalt mixtures
KW - Binder
KW - Gradation
KW - Hamburg wheel tracking test
KW - Hot-mix asphalt
KW - Illinois Flexibility Index test
KW - Performance test
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U2 - 10.1061/JPEODX.PVENG-1276
DO - 10.1061/JPEODX.PVENG-1276
M3 - Article
AN - SCOPUS:85174258256
SN - 2573-5438
VL - 149
JO - Journal of Transportation Engineering Part B: Pavements
JF - Journal of Transportation Engineering Part B: Pavements
IS - 4
M1 - 04023032
ER -