Adhesion–Friction Coupling in Asphalt Emulsion Surface Treatments: Linking Curing Kinetics, Bond Durability, and Polishing Resistance

Surface treatments including chip seals and high-friction surface treatments (HFST) are vital components of pavement preservation programs used to restore macro/micro-texture friction and address distress. While conventional friction durability studies focus on aggregate mineralogy, this investigation examines the mechanical coupling between binder curing kinetics, micro-scale adhesion, and macro-scale polishing resistance. An experimental matrix evaluating six asphalt emulsion variants (including latex, reactive, and polymer modifications) alongside a thermoset epoxy as a control binder was conducted using two aggregate types (calcined bauxite and rhyolite) across fine and coarse gradations. Materials were evaluated via first-day moisture loss (WL1d), dry and 24 h wet Bitumen Bond Strength (BBS), and British Pendulum Number (BPN) degradation under accelerated polishing. The results reveal a clear relationship between adhesion and friction performance. Ordinary least squares (OLS) modeling reveals that micro-scale bond parameters (BBS) and curing kinetics (WL1d) collectively explain 80.5% of the variance in macro-scale aggregate retention (R2 = 0.805). Furthermore, aggregate retention strongly correlates with early moisture loss (r = 0.872) and wet bond strength (r = 0.6). Advanced elastomeric and polymer modified emulsions (A16 and 1B2Last+16Acro) achieved aggregate retention (R = BPN_after polishing/BPN_before polishing, 86.6% and 85.9%, respectively) and excellent post-polishing friction, performing comparably to the epoxy control (R = 86.5%) while significantly outperforming traditional (CRS-2P) and (CRS-2PSC) systems. The structural impact of binder chemistry was further evaluated through a one-way ANOVA, which confirmed highly significant differences in coarse configurations (p < 0.01). In contrast, the binder effect in fine gradations proved to be highly dependent on aggregate mineralogy; differences were not statistically significant in calcined bauxite (p = 0.270) but reached significance in rhyolite (p = 0.026). Based on these findings, a composite Emulsion Bond Quality Index (EBQI) and a Bond Risk Score (BRS) are introduced. By successfully integrating micro-mechanical bonding, curing kinetics, and polishing resistance, these new metrics establish an objective framework for material selection and process control in pavement preservation practice.

Authors

Institutions

Publication Details

Journal
Adhesives
Published
2026-09-11
DOI
https://doi.org/10.3390/adhesives2030017
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Adhesion–Friction Coupling in Asphalt Emulsion Surface Treatments: Linking Curing Kinetics, Bond Durability, and Polishing Resistance

Magdy Abdelrahman, Alireza Roshan
Adhesives
Asphalt Pavement Performance Evaluation
article

Adhesion–Friction Coupling in Asphalt Emulsion Surface Treatments: Linking Curing Kinetics, Bond Durability, and Polishing Resistance

Magdy Abdelrahman, Alireza Roshan
article en

Abstract

Surface treatments including chip seals and high-friction surface treatments (HFST) are vital components of pavement preservation programs used to restore macro/micro-texture friction and address distress. While conventional friction durability studies focus on aggregate mineralogy, this investigation examines the mechanical coupling between binder curing kinetics, micro-scale adhesion, and macro-scale polishing resistance. An experimental matrix evaluating six asphalt emulsion variants (including latex, reactive, and polymer modifications) alongside a thermoset epoxy as a control binder was conducted using two aggregate types (calcined bauxite and rhyolite) across fine and coarse gradations. Materials were evaluated via first-day moisture loss (WL1d), dry and 24 h wet Bitumen Bond Strength (BBS), and British Pendulum Number (BPN) degradation under accelerated polishing. The results reveal a clear relationship between adhesion and friction performance. Ordinary least squares (OLS) modeling reveals that micro-scale bond parameters (BBS) and curing kinetics (WL1d) collectively explain 80.5% of the variance in macro-scale aggregate retention (R2 = 0.805). Furthermore, aggregate retention strongly correlates with early moisture loss (r = 0.872) and wet bond strength (r = 0.6). Advanced elastomeric and polymer modified emulsions (A16 and 1B2Last+16Acro) achieved aggregate retention (R = BPN_after polishing/BPN_before polishing, 86.6% and 85.9%, respectively) and excellent post-polishing friction, performing comparably to the epoxy control (R = 86.5%) while significantly outperforming traditional (CRS-2P) and (CRS-2PSC) systems. The structural impact of binder chemistry was further evaluated through a one-way ANOVA, which confirmed highly significant differences in coarse configurations (p < 0.01). In contrast, the binder effect in fine gradations proved to be highly dependent on aggregate mineralogy; differences were not statistically significant in calcined bauxite (p = 0.270) but reached significance in rhyolite (p = 0.026). Based on these findings, a composite Emulsion Bond Quality Index (EBQI) and a Bond Risk Score (BRS) are introduced. By successfully integrating micro-mechanical bonding, curing kinetics, and polishing resistance, these new metrics establish an objective framework for material selection and process control in pavement preservation practice.

AdhesivesVol. 2(3)
Missouri University of Science and Technology (US)
Life in Land
Openalex Percentile: Top 17%
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.