Determination of asphalt-aggregate ratio in steel slag asphalt mixtures through optimal asphalt film thickness design and comprehensive performance validation

Steel slag has great potential as an aggregate for asphalt pavements, but its high porosity and specific gravity make conventional asphalt-aggregate ratio design methods less accurate and less efficient. To address this issue, this study proposes an asphalt-film-thickness-based design method for steel slag asphalt mixtures. Four gradations each of AC-13 and SMA-13 mixtures were firstly selected, and five asphalt-aggregate ratios ( P a ) were evaluated for each gradation to determine the optimal P a in accordance with current specifications. The asphalt film thickness ( DA ) on mineral surfaces in both steel slag asphalt mixtures (SSAM) and basalt asphalt mixtures (BAAM) was measured and compared using backscattered electron microscopy and fluorescence microscopy. Optimal DA values corresponding to peak mixture performance were identified through comprehensive evaluations, including Marshall stability tests, water immersion Marshall tests, and splitting tests. Based on these results, the surface area coefficient of steel slag was calculated. Subsequently, the optimal P a values for two additional SSAM gradations were determined using the derived optimal DA , and their temperature stability and moisture resistance were verified through rutting tests, freeze-thaw rutting tests, and low-temperature bending beam tests. The results indicate that the surface area coefficient of steel slag is 0.00145, and the optimal DA values for SSAM and BAAM used in the surface layer are determined to be 6.75 μm and 6.15 μm, respectively. Compared to conventional design methods, the dynamic stability of SSAM and BAAM designed using the DA method increased by 19.04% and 3.62%, respectively, while their post-freeze-thaw dynamic stability exhibited approaching. The maximum flexural strain of the SSAM increased by 3.82%, whereas that of the BAAM decreased by 4.36%. Overall, the proposed method provides a more convenient and performance-oriented approach for determining the suitable P a of SSAM, supporting their efficient application in pavement engineering.

Authors

Institutions

Publication Details

Journal
Construction and Building Materials
Published
2026-09-17
DOI
https://doi.org/10.1016/j.conbuildmat.2026.148100
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Determination of asphalt-aggregate ratio in steel slag asphalt mixtures through optimal asphalt film thickness design and comprehensive performance validation

You Li, Mulian Zheng, Yifeng Li, Zehao Zhang et al.
Construction and Building Materials
Asphalt Pavement Performance Evaluation
article

Determination of asphalt-aggregate ratio in steel slag asphalt mixtures through optimal asphalt film thickness design and comprehensive performance validation

You Li, Mulian Zheng, Yifeng Li, Zehao Zhang, Rongyi Ji, Chuan Lu, Xueqi Wang, Yi Lu
article en

Abstract

Steel slag has great potential as an aggregate for asphalt pavements, but its high porosity and specific gravity make conventional asphalt-aggregate ratio design methods less accurate and less efficient. To address this issue, this study proposes an asphalt-film-thickness-based design method for steel slag asphalt mixtures. Four gradations each of AC-13 and SMA-13 mixtures were firstly selected, and five asphalt-aggregate ratios ( P a ) were evaluated for each gradation to determine the optimal P a in accordance with current specifications. The asphalt film thickness ( DA ) on mineral surfaces in both steel slag asphalt mixtures (SSAM) and basalt asphalt mixtures (BAAM) was measured and compared using backscattered electron microscopy and fluorescence microscopy. Optimal DA values corresponding to peak mixture performance were identified through comprehensive evaluations, including Marshall stability tests, water immersion Marshall tests, and splitting tests. Based on these results, the surface area coefficient of steel slag was calculated. Subsequently, the optimal P a values for two additional SSAM gradations were determined using the derived optimal DA , and their temperature stability and moisture resistance were verified through rutting tests, freeze-thaw rutting tests, and low-temperature bending beam tests. The results indicate that the surface area coefficient of steel slag is 0.00145, and the optimal DA values for SSAM and BAAM used in the surface layer are determined to be 6.75 μm and 6.15 μm, respectively. Compared to conventional design methods, the dynamic stability of SSAM and BAAM designed using the DA method increased by 19.04% and 3.62%, respectively, while their post-freeze-thaw dynamic stability exhibited approaching. The maximum flexural strain of the SSAM increased by 3.82%, whereas that of the BAAM decreased by 4.36%. Overall, the proposed method provides a more convenient and performance-oriented approach for determining the suitable P a of SSAM, supporting their efficient application in pavement engineering.

Construction and Building MaterialsVol. 543
Qilu University of Technology (CN), Chang'an University (CN), People’s Hospital of Rizhao (CN)
Key Technologies Research and Development Program
Openalex Percentile: Top 16%
Asphalt Pavement Performance Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.