Quality Assurance Framework for Recovered Binders and Aggregates from Asphalt Mixtures Incorporating Recycled Materials
Abstract
:1. Introduction
2. Results and Discussion
2.1. Gradation Consistency of Extracted Aggregates
2.2. Binder Quantitative Analyses
2.3. Binder Qualitative Analyses
2.3.1. High-Temperature Rheological Analyses
2.3.2. Intermediate-Temperature Rheological Analyses
2.3.3. Low-Temperature Rheological Analyses
2.3.4. Thermal Analyses
2.4. QA of Mixtures Based on the QA Decision Matrix
3. Material and Methods
3.1. Materials
3.2. Methods
3.2.1. Extraction and Recovery Procedures
Aggregates and Binders Extraction from Asphalt Mixtures
Recovery of Binders from Binder-TCE Solvents
3.2.2. Aggregate Gradations
3.2.3. Analyses of Binders
Quantitative Analyses
Qualitative Analyses
- Aging of Original Binders
- 2.
- Rheological Analyses
- 3.
- Thermal Analyses
3.2.4. QA Decision Matrix
4. Conclusions
- For mixtures including recycled materials, the proposed QA framework is a necessary process displaying a thorough approach for component evaluation.
- The component-level analyses revealed that aggregate sizes and asphalt contents showed compliance with the JMF targets, reflecting minimal disruption from the extraction process.
- The recovered binders, particularly PL and L binders, had significant alterations when compared to the contract binders in the JMF, with increased stiffnesses, greater elasticity values, and reduced capabilities to relax thermal stresses, reflecting the need for QA framework targeting the behavior of the recovered binders.
- Increasing the ABR% by RAP-RAS enhanced the rutting resistance; however, heightened susceptibility to fatigue, block, and thermal cracking, confirmed the need for a QA decision matrix to balance the performance evaluation.
- RAP binders interacted readily with the original binders; however, the RAS binders had a delayed interaction, especially in F mixtures. This reflected the need for a QA decision matrix to compare the recovered binders from different fabricated mixtures.
- The QA decision matrix is an effective approach for assessing and determining the adherence of asphalt mixtures to JMF specifications, combining statistical analysis with performance-based evaluation.
5. Recommendations and Future Work
- This study advocates the use of the QA framework and the decision matrix for asphalt mixtures containing recycled materials. These tools will facilitate materials compliance monitoring for decision makers.
- It is recommended that thermal analyses and the proposed models be used to assess the performance of the recovered binders in limited quantities.
- A more in-depth investigation of the lab’s aging and compaction mechanisms, as well as their impact on the interactions between the original and aged binders, is required. Understanding these interactions has the potential to significantly influence the mixtures’ long-term performance.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
ABR | Asphalt Binder Replacement |
AC | Asphalt Content |
ANOVA | Analysis of Variance |
DTG | Derivative of Thermograph |
F | Field |
G-R | Glover–Rowe |
JMF | Job Mix Formula |
P | Plant |
PG | Performance Grade |
PL | Plant and Lab Compacted |
QA | Quality Assurance |
QC | Quality Control |
RAS | Recycled Asphalt Shingles |
RAP | Reclaimed Asphalt Pavement |
RTFO | Rolling Thin-Film Oven |
TCE | Trichloroethylene |
TGA | Thermogravimetric Analysis |
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Mixture | Source | DF a | SS b | MS c | F Ratio | Prob > F |
---|---|---|---|---|---|---|
M1 | Gradation (F and PL) | 1 | 87.81 | 87.80 | 5.28 × 10−2 | 8.20 × 10−1 |
Error | 24 | 39,936.25 | 1664.01 | |||
C. Total | 25 | 40,024.06 | ||||
M2 | Gradation (F, PL, L, and JMF) | 3 | 23.29 | 7.76 | 4.80 × 10−3 | 9.99 × 10−1 |
Error | 48 | 77,574.76 | 1616.14 | |||
C. Total | 51 | 77,598.05 | ||||
M3 | Gradation (F and PL) | 1 | 0.56 | 0.56 | 3.00 × 10−4 | 9.85 × 10−1 |
Error | 24 | 38,746.22 | 1614.43 | |||
C. Total | 25 | 38,746.78 | ||||
M4 | Gradation (F, PL, L, and JMF) | 3 | 57.34 | 19.11 | 1.13 × 10−2 | 9.98 × 10−1 |
Error | 48 | 81,337.69 | 1694.54 | |||
C. Total | 51 | 81,395.03 | ||||
M5 | Gradation (F and JMF) | 1 | 2.20 | 2.20 | 1.40 × 10−3 | 9.70 × 10−1 |
Error | 24 | 37,385.67 | 1557.74 | |||
C. Total | 25 | 37,387.87 | ||||
M6 | Gradation (F and JMF) | 1 | 3.63 × 10−3 | 3.63 × 10−3 | 2.32 × 10−6 | 9.99 × 10−1 |
Error | 24 | 37,577.53 | 1565.73 | |||
C. Total | 25 | 375,577.54 | ||||
M7 | Gradation (F and JMF) | 1 | 0.03 | 0.03 | 1.85 × 10−5 | 9.96 × 10−1 |
Error | 24 | 38,373.55 | 1598.90 | |||
C. Total | 25 | 38,373.58 |
Source | DF | SS | MS | F Ratio | Prob > F |
---|---|---|---|---|---|
AC% (F, PL, L, and C) | 3 | 0.16 | 0.05 | 0.82 | 0.50 |
Error | 16 | 1.05 | 0.07 | ||
C. Total | 19 | 1.21 |
1. ANOVA Results | |||||||
Source | DF | SS | MS | F Ratio | Prob > F | ||
AC% (ash., centr., and C) | 2 | 0.32 | 0.16 | 2.72 | 0.08 | ||
Error | 36 | 2.14 | 0.06 | ||||
C. Total | 38 | 2.47 | |||||
2. Pairwise Comparisons | |||||||
Group 1 | Group 2 | Difference | Std Error | t Ratio | Prob > |t| | Lower 95% | Upper 95% |
AC% (ash.) | AC% (centr.) | −0.20 | 0.11 | −2.08 | 0.11 | −0.43 | 0.04 |
AC% (ash.) | AC% C | −0.19 | 0.11 | −1.95 | 0.14 | −0.42 | 0.05 |
AC% (centr.) | AC% C | 0.01 | 0.11 | 0.13 | 0.99 | −0.22 | 0.25 |
Source | DF | SS | MS | F Ratio | Prob > F |
---|---|---|---|---|---|
AC% (AC% categories listed in Figure 2) | 9 | 0.61 | 0.07 | 1.08 | 0.40 |
Error | 36 | 2.27 | 0.06 | ||
C. Total | 45 | 2.88 |
Mixture | ABR% by (RAP-RAS) | Total AC% | Original Binder’s PG | Contract PG | Number of Samples Collected/Fabricated | ||
---|---|---|---|---|---|---|---|
F | PL | L | |||||
M1 | 17% (RAP) | 5.7% | 64H–22 | 70–22 | 3 | 3 | - |
M2 | 31% (RAP) | 5.1% | 58–28 a | 70–22 | 3 | 3 | 3 |
M3 | 33% (RAS) | 5.2% | 58–28 a | 70–22 | 3 | 3 | - |
M4 | 35% (RAP) | 5.1% | 58–28 | 70–22 | 3 | 3 | 3 |
M5 | 33% (RAP) | 5.3% | 58–28 a | 70–22 | 3 | - | - |
M6 | 18% (RAP) and 15% (RAS) | 5.2% | 58–28 a | 70–22 | 3 | - | - |
M7 | 35% (RAP) | 4.8% | 64H–22 | 76–22 | 3 | - | - |
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Deef-Allah, E.; Abdelrahman, M. Quality Assurance Framework for Recovered Binders and Aggregates from Asphalt Mixtures Incorporating Recycled Materials. Recycling 2025, 10, 71. https://doi.org/10.3390/recycling10020071
Deef-Allah E, Abdelrahman M. Quality Assurance Framework for Recovered Binders and Aggregates from Asphalt Mixtures Incorporating Recycled Materials. Recycling. 2025; 10(2):71. https://doi.org/10.3390/recycling10020071
Chicago/Turabian StyleDeef-Allah, Eslam, and Magdy Abdelrahman. 2025. "Quality Assurance Framework for Recovered Binders and Aggregates from Asphalt Mixtures Incorporating Recycled Materials" Recycling 10, no. 2: 71. https://doi.org/10.3390/recycling10020071
APA StyleDeef-Allah, E., & Abdelrahman, M. (2025). Quality Assurance Framework for Recovered Binders and Aggregates from Asphalt Mixtures Incorporating Recycled Materials. Recycling, 10(2), 71. https://doi.org/10.3390/recycling10020071