Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates
This study intends to predict the long-term skid resistance of steel slag asphalt mixture (SSAM) from the mineral composition of the aggregates. The polished stone value (PSV) and mineral composition of the aggregates were assessed using the accelerated polishing test and X-ray diffraction, respecti...
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MDPI AG
2023-02-01
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Series: | Polymers |
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Online Access: | https://www.mdpi.com/2073-4360/15/4/807 |
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author | Kuo Ji Changchun Shi Jing Jiang Yaogang Tian Xiaowei Zhou Rui Xiong |
author_facet | Kuo Ji Changchun Shi Jing Jiang Yaogang Tian Xiaowei Zhou Rui Xiong |
author_sort | Kuo Ji |
collection | DOAJ |
description | This study intends to predict the long-term skid resistance of steel slag asphalt mixture (SSAM) from the mineral composition of the aggregates. The polished stone value (PSV) and mineral composition of the aggregates were assessed using the accelerated polishing test and X-ray diffraction, respectively. The hardness (H) and surface texture richness (STR) of the aggregates were calculated from the mineral composition of the aggregates, and then a multivariate linear model was established between PSV and H and STR. The British pendulum number (BPN) and three-dimensional morphology of the SSAM were then evaluated using a British pendulum and a pavement laser scanner, respectively. Finally, an exponential relationship was established between BPN, aggregate PSV, and various aggregate amounts of SSAM. The results show that steel slag with H, STR, and PSV was better than natural aggregates and can significantly improve the skid resistance of pavement, but the relationship between steel slag content and long-term skid resistance of SSAM was not linear, and SSAM with 50% steel slag content had the best skid resistance. The mathematical model developed can predict the long-term skid resistance of SSAM from the mineral composition of the aggregates. The model can be used by designers to predict the long-term skid resistance of steel slag asphalt pavements at the design stage and thus better determine the proportion of steel slag to other aggregates. |
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format | Article |
id | doaj.art-e74de147cccd46a68b8cad7dace75076 |
institution | Directory Open Access Journal |
issn | 2073-4360 |
language | English |
last_indexed | 2024-03-11T08:15:19Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Polymers |
spelling | doaj.art-e74de147cccd46a68b8cad7dace750762023-11-16T22:50:13ZengMDPI AGPolymers2073-43602023-02-0115480710.3390/polym15040807Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of AggregatesKuo Ji0Changchun Shi1Jing Jiang2Yaogang Tian3Xiaowei Zhou4Rui Xiong5School of Materials Science and Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710064, ChinaSchool of Materials Science and Engineering, Chang’an University, Xi’an 710064, ChinaThis study intends to predict the long-term skid resistance of steel slag asphalt mixture (SSAM) from the mineral composition of the aggregates. The polished stone value (PSV) and mineral composition of the aggregates were assessed using the accelerated polishing test and X-ray diffraction, respectively. The hardness (H) and surface texture richness (STR) of the aggregates were calculated from the mineral composition of the aggregates, and then a multivariate linear model was established between PSV and H and STR. The British pendulum number (BPN) and three-dimensional morphology of the SSAM were then evaluated using a British pendulum and a pavement laser scanner, respectively. Finally, an exponential relationship was established between BPN, aggregate PSV, and various aggregate amounts of SSAM. The results show that steel slag with H, STR, and PSV was better than natural aggregates and can significantly improve the skid resistance of pavement, but the relationship between steel slag content and long-term skid resistance of SSAM was not linear, and SSAM with 50% steel slag content had the best skid resistance. The mathematical model developed can predict the long-term skid resistance of SSAM from the mineral composition of the aggregates. The model can be used by designers to predict the long-term skid resistance of steel slag asphalt pavements at the design stage and thus better determine the proportion of steel slag to other aggregates.https://www.mdpi.com/2073-4360/15/4/807steel slagsteel slag asphalt mixtureaggregate mineral compositionlong-term skid resistancedifferential polishingsurface texture richness |
spellingShingle | Kuo Ji Changchun Shi Jing Jiang Yaogang Tian Xiaowei Zhou Rui Xiong Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates Polymers steel slag steel slag asphalt mixture aggregate mineral composition long-term skid resistance differential polishing surface texture richness |
title | Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates |
title_full | Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates |
title_fullStr | Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates |
title_full_unstemmed | Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates |
title_short | Determining the Long-Term Skid Resistance of Steel Slag Asphalt Mixture Based on the Mineral Composition of Aggregates |
title_sort | determining the long term skid resistance of steel slag asphalt mixture based on the mineral composition of aggregates |
topic | steel slag steel slag asphalt mixture aggregate mineral composition long-term skid resistance differential polishing surface texture richness |
url | https://www.mdpi.com/2073-4360/15/4/807 |
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