Comprehensive Review of Thermally Induced Self-Healing Behavior in Asphalt Mixtures and the Role of Steel Slag
Abstract
1. Introduction
2. Fundamentals of Thermally Induced Self-Healing in Asphalt Mixtures
2.1. Mechanisms of Self-Healing
2.1.1. Key Stages of the Self-Healing Process
- Crack surface wetting and contact: At elevated temperatures (typically ≥ 50 °C), the surface energy gradient drives the initial wetting of crack surfaces by the softened asphalt binder [25]. As the binder’s viscosity decreases (following the Walther equation), it flows to fill microcavities and re-establish adhesive contact across crack faces. This stage is critical for overcoming the surface tension that maintains crack openness, with the binder’s polar functional groups (e.g., carboxylic acids) facilitating physical adsorption onto aggregate surfaces [26].
- Stress-driven crack closure: As the asphalt mixture is heated, the reduction in binder stiffness increases its ductility, allowing mechanical stresses (residual or induced) to drive crack closure [27]. In this phase, the viscoelastic binder undergoes creep deformation, gradually reducing the crack width through cohesive flow. Research using dynamic shear rheometry (DSR) has shown that the rate of crack closure is directly proportional to the temperature-induced decrease in complex shear modulus (|G*|), with a 50% reduction in |G*| at 80 °C compared to 25 °C [28].
- Molecular diffusion and mechanical recovery: The final stage involves molecular diffusion across the re-contacted crack interface, where asphaltenes and maltenes interpenetrate to restore cohesive strength [29]. At optimal healing temperatures (80–100 °C), the increased kinetic energy of binder molecules enhances interdiffusion, with small molecular weight maltenes (e.g., saturates and aromatics) migrating faster than asphaltenes, leading to a gradual recovery of mechanical properties [30]. Fourier transform infrared spectroscopy (FTIR) has confirmed the re-establishment of van der Waals interactions and hydrogen bonding across healed interfaces, with tensile strength recovery reaching 60–80% after 24 h of thermal treatment [31].
2.1.2. Theoretical Frameworks for Self-Healing
- Molecular diffusion theory: Rooted in polymer science, this theory posits that crack healing involves sequential stages of surface rearrangement, wetting, molecular diffusion, and randomization of polymer chains [32]. In asphalt, the complex mixture of high-molecular-weight asphaltenes and low-viscosity maltenes creates a heterogeneous diffusion environment. Maltenes, acting as a “solvent” for asphaltenes, facilitate the flow of binder across cracks, with diffusion kinetics governed by the Stokes–Einstein equation [33]. Experimental studies using fluorescent tracers have shown that diffusion rates increase exponentially with temperature, with a 30% acceleration observed when heating from 60 °C to 90 °C [34].
- Crack surface energy theory: From a fracture mechanics perspective, self-healing is defined as a reduction in crack surface energy (Γ), which is the energy required to create new crack surfaces [35]. The healing process minimizes Γ through the wetting and bonding of crack faces, described by the Young–Dupré equation for adhesive work. Schapery [36] extended this concept to viscoelastic materials, deriving the relationship. This theory highlights the role of temperature in reducing Γh by enhancing binder-aggregate adhesion, with studies showing a 15–20% decrease in surface energy for heated asphalt mixtures compared to unheated controls [37]. Furthermore, Luo et al. [38] conducted a comprehensive mechanical analysis of the asphalt healing process and developed a theoretical model to describe the healing behavior of asphalt mixtures. As illustrated in Figure 1, the internal actual stress and interfacial attraction are the two primary driving forces behind the self-healing of asphalt.
- Capillary flow theory: García [39] proposed a model where capillary pressure drives binder flow into cracks at elevated temperatures, assuming asphalt behaves as a Newtonian fluid. The capillary pressure (Pc) is provided by the Young–Laplace equation. As temperature increases, the contact angle decreases (improving wetting), and binder viscosity drops, enhancing Pc and flow rate. This theory is particularly applicable to microcracks (<2 mm width), where capillary forces dominate over gravitational or mechanical stresses. Experimental validation using microfluidic models has shown that cracks narrower than 500 μm are fully healed within 30 min at 90 °C, with flow rates increasing by 50% compared to room temperature [40].
2.1.3. Temperature and Time Dependencies
- Temperature thresholds: Dense-graded asphalt mixtures begin self-healing at 50 °C, with healing rates increasing monotonically up to 100 °C, where the binder transitions into a Newtonian fluid state [41]. Below 50 °C, viscosity remains too high for effective flow, while above 100 °C, excessive thermal aging may degrade binder properties, reducing long-term durability [42].
- Healing kinetics: The healing process follows a biphasic pattern: an initial rapid strength recovery (60–70% within 1 h) due to crack closure, followed by a slower diffusion-driven phase (additional 10–20% recovery over 24 h) [43]. Time-temperature superposition principles have been used to model this behavior, showing that a 10 °C increase in healing temperature is equivalent to a three-fold increase in healing time [44].
- Optimal Timing: Induction heating is most effective when applied at 30–70% of the pavement’s fatigue life, corresponding to the stage of microcrack propagation before macrocrack formation [45]. Premature activation (e.g., <20% fatigue life) may waste energy, while delayed activation (>80% fatigue life) may fail to repair critical damage, leading to structural failure [46].
2.2. Heating Methods for Enhanced Self-Healing
2.2.1. Electromagnetic Induction Heating
- Eddy current and hysteresis heating: Conductive fillers (e.g., steel fibers) generate heat through eddy current losses, while ferromagnetic components (e.g., magnetite) produce heat via hysteresis effects during magnetic field oscillations [49]. This targeted heating softens the asphalt binder, promoting crack closure and molecular diffusion.
- Void content optimization: Incorporation of dense, angular fillers reduces air voids, enhancing mechanical interlock and reducing pathways for moisture ingress. Studies indicate that each 4% increase in void content decreases repair efficiency by 10%, highlighting the importance of compact microstructure for effective healing [50].
- Thermal property modification: Fillers with low thermal conductivity and high heat-storage capacity prolong the duration of effective healing by retaining heat within the mixture. Microporous fillers, for example, interrupt heat transfer, maintaining optimal temperatures (50–100 °C) for extended periods [51].
2.2.2. Microwave Heating
- Dielectric heating efficiency: Materials with high ε″, such as aggregates containing metal oxides (e.g., Fe2O3, CaO), absorb microwaves more effectively, converting electromagnetic energy to heat at rates proportional to their loss properties [57]. This allows targeted activation of filler-rich zones, accelerating binder softening and crack repair.
- Porous structure enhancement: Porous fillers enhance microwave reflections and energy dissipation, creating a more uniform thermal environment. For instance, fillers with rough, interconnected pore structures improve heat distribution, reducing thermal gradients within the mixture [58].
- Moisture mitigation: While water can degrade healing by vaporizing at 100 °C, fillers with low water absorption restrict outward diffusion, maintaining stable thermal conditions for binder flow. Dense-graded mixtures, in particular, show better freeze–thaw resistance during microwave healing due to reduced void connectivity [59].
2.3. Limitations of Self-Healing Methods
3. Steel Slag as a Functional Aggregate for Enhanced Thermal Self-Healing
3.1. Physical and Chemical Properties of Steel Slag Aggregates
- Enhanced Mechanical Performance: When replacing coarse aggregates (particularly BOFS and EAFS), steel slag significantly improves the anti-rutting, fatigue resistance, and permanent deformation resistance of asphalt mixtures [81,82]. Its angular particles and rough surface enhance mechanical interlock among aggregates.
- Superior Skid Resistance: Steel slag’s wear resistance, high polishing resistance, and irregular surface morphology substantially improve pavement skid resistance (e.g., higher British Pendulum Number (BPN) and Mean Texture Depth (MTD) compared to conventional aggregates), making it suitable for high-traffic roads [83,84,85].
- Temperature Adaptability: Steel slag mixtures exhibit higher dynamic modulus across a broad temperature range (−10–54 °C), extending their applicability to diverse climatic conditions [74].
- Volumetric Stability Risks: Free calcium/magnesium oxides in steel slag pose hydration-induced expansion risks, requiring pretreatment (e.g., carbonation) to mitigate swelling [88].
Reference | Source | CaO (%) | SiO2 (%) | Al2O3 (%) | Fe2O3 (%) | MgO (%) | MnO (%) |
---|---|---|---|---|---|---|---|
[90] | Jiangsu, China | 39.53 | 17.62 | 8.62 | 16.75 | 7.81 | 2.85 |
[91] | Rugao, China | 37.56 | 17.66 | 7.64 | 19.07 | 5.61 | 2.32 |
[92] | Benxi, China | 42.49 | 16.05 | 6.81 | 23.33 | 5.34 | 2.18 |
[93] | Nanjing, China | 45.87 | 19.76 | 2.51 | 14.10 | 5.47 | 2.35 |
[94] | Shanxi, China | 45.50 | 13.50 | 2.31 | 24.30 | 5.80 | 2.24 |
[95] | Wuhan, China | 37.88 | 28.05 | 9.60 | 9.53 | 8.70 | 3.02 |
[96] | Binzhou, China | 41.59 | 13.30 | 4.48 | 24.19 | 5.90 | − |
[97] | Tangshan, China | 44.24 | 12.00 | 4.05 | 29.74 | 4.51 | − |
[98] | Zhanjiang, China | 42.92 | 11.63 | 9.46 | 23.36 | 5.35 | − |
[98] | Xinyu, China | 41.35 | 11.04 | 1.35 | 25.43 | 8.62 | − |
[99] | Korea | 35.59 | 14.60 | 3.52 | 33.82 | 5.06 | 3.70 |
[100] | Canada | 46.5 | 23.3 | 4.02 | 7.71 | 11 | 1.20 |
[100] | Canada | 28 | 18.7 | 12.6 | 18 | 7.84 | 0.39 |
[101] | Netherlands | 41.55 | 11.47 | 2.24 | 31.35 | 3.78 | 4.78 |
[102] | Netherlands | 40.87 | 15.91 | 2.35 | 25.21 | 5.21 | 5.00 |
[103] | Brazil | 36.80 | 14.60 | 3.70 | 32.20 | 5.50 | 3.70 |
[103] | Brazil | 27.40 | 19.00 | 6.50 | 33.50 | 5.60 | 4.00 |
[104] | Italy | 49.00 | 23.00 | 10.80 | 5.20 | 8.50 | 1.0 |
[105] | Finland | 54.59 | 12.99 | 1.15 | 21.35 | 1.86 | − |
[105] | Finland | 55.40 | 15.19 | 2.15 | 16.06 | 1.64 | − |
3.2. Thermal and Electromagnetic Characteristics
- Low thermal conductivity and diffusivity: Due to its porous microstructure with interconnected micropores, steel slag has lower thermal conductivity (1.2–1.5 W/(m·K)) and diffusivity (0.4–0.6 × 10-6 m2/s) compared to natural aggregates like limestone (2.0–2.5 W/(m·K)) and basalt (1.5–2.0 W/(m·K)) [107,108]. The pores disrupt heat-transfer pathways, slowing down heat dissipation and enhancing heat-storage capacity. This feature is advantageous during pavement construction, as it prolongs the temperature window for compaction, especially in cold climates, by maintaining workable temperatures for 10–15% longer than conventional mixtures [109]. Steel slag–asphalt mixtures, leveraging these properties (thermal conductivity, mechanical strength, and self-healing capabilities), exhibit particularly superior performance under specific road types and traffic conditions. Examples include urban roads, highways, sun-exposed parking lots, and bridge pavements in tropical or subtropical regions. This is attributed to the region’s relatively higher ambient temperatures, which enable faster pavement temperature elevation compared to colder regions, thereby enhancing the efficiency of self-healing mechanisms.
- Enhanced heat storage: The high density of steel slag (2.95–3.5 g/cm3) combined with its porous structure provides it a specific heat capacity of 0.7–0.9 kJ/(kg·K), higher than natural aggregates [110]. This allows steel slag–modified mixtures to retain heat for extended periods, reducing energy consumption during transportation and enabling more efficient thermal activation of self-healing mechanisms [58].
- Dielectric properties: Steel slag has a high dielectric constant and loss factor across microwave frequencies, significantly higher than limestone and basalt [112]. The polar metal oxides within the slag interact with microwave fields, causing dipole rotation and friction that generate heat internally. This volumetric heating mechanism ensures uniform temperature rise, with mixtures containing 40% steel slag achieving a 15 °C temperature increase within 2 min of microwave exposure [60].
- Magnetic permeability: The complex magnetic permeability of steel slag is dominated by its ferromagnetic components, such as magnetite (Fe3O4) and metallic iron. The real part ranges from 1.05–1.09 at low frequencies, enabling efficient energy coupling in induction heating systems [113]. Iron-rich fractions in steel slag generate eddy currents under alternating magnetic fields, converting electrical energy to heat via resistive losses. In contrast, Fe3O4 relies on hysteresis losses, making it effective for magnetic induction even at micron scales [114].
- Particle size and content effects: Larger steel slag particles (9.5–16 mm) with higher iron content (25–30%) enhance induction heating depth (5–8 cm) due to reduced skin depth, while finer particles (0–2.36 mm) improve microwave absorption efficiency by increasing specific surface area [115]. Optimal steel slag content for balanced heating efficiency and workability is 30–50%, beyond which agglomeration may reduce uniformity [116].
3.3. Pretreatment of Steel Slag for Improved Performance
- Stabilizing microstructure: Reduced expansion ensures that thermal cycles do not induce secondary damage, maintaining the integrity of the aggregate–binder interface during heating [143].
- Optimizing moisture balance: Hydrophobic treatments (organic/inorganic) prevent water-induced disruptions to microwave/induction heating, ensuring consistent temperature distribution and binder flow [144].
- Enhancing thermal compatibility: Carbonated or aged slag exhibits more stable thermal expansion coefficients, reducing thermal stress during healing cycles [145].
4. Critical Factors Influencing Self-Healing Efficacy
4.1. Material Parameters
4.2. Operational Conditions
4.3. Economic and Environmental Trade-Offs
5. Challenges and Future Directions
5.1. Challenges of Thermally Induced Self-Healing
- Electromagnetic induction: Uneven temperature distribution due to steel slag agglomeration causes localized overheating (ΔT > 15 °C in clusters), risking binder oxidation and insufficient deep-layer repair [158]. The dependency on ferromagnetic components (e.g., Fe3O4) also limits its effectiveness with low-iron slag variants.
- Microwave heating: While offering uniform surface heating, prolonged exposure (≥10 min at 100 °C) accelerates asphalt aging, reducing binder ductility by 15–20% after five cycles. High energy consumption (0.5–1 kWh/m2 per healing session) from non-renewable sources contradicts sustainability goals, particularly for large-scale pavement networks.
5.2. Future Directions for Innovation
5.2.1. Advanced Pretreatment and Material Design for Predictable Performance
5.2.2. Optimized Self-Healing Systems for Energy Efficiency and Uniformity
5.2.3. Smart-Infrastructure Integration and Data-Driven Optimization
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Heating Method | Mechanism | Advantages | Limitations | Optimal Applications |
---|---|---|---|---|
Electromagnetic Induction | Eddy currents/hysteresis in conductive/ ferromagnetic fillers | Deep heating (5–10 cm), rapid temperature rise | Localized overheating, filler agglomeration | Subsurface crack repair, thick pavement layers |
Microwave Heating | Dielectric/magnetic losses in polar/lossy materials | Uniform volumetric heating, surface/ mid-depth repair | Dependence on filler dielectric properties | Surface/mid-depth cracks, thin overlays |
Method | Mechanism | Advantages | Limitations | Optimal Application |
---|---|---|---|---|
Natural Aging | Gradual hydration/ carbonation | Low cost, environmental compatibility | Long treatment time (6–12 months) | Large-scale storage facilities |
Carbonation Modification | CO2-induced calcium carbonate formation | Rapid stabilization, CO2 utilization | High-energy autoclave requirements | Industrial sites with CO2 waste streams |
Inorganic Modification | Pozzolanic reaction/acid etching | Improved mechanical properties, cost-effective | Potential alkalinity changes | Heavy-duty pavements requiring high strength |
Organic Modification | Hydrophobic surface coating | Excellent moisture resistance, binder adhesion | Higher treatment cost, potential aging sensitivity | Moisture-prone environments (coastal, high-rain areas) |
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Yan, Y.; Li, W.; Liu, C.; Pan, B. Comprehensive Review of Thermally Induced Self-Healing Behavior in Asphalt Mixtures and the Role of Steel Slag. Coatings 2025, 15, 668. https://doi.org/10.3390/coatings15060668
Yan Y, Li W, Liu C, Pan B. Comprehensive Review of Thermally Induced Self-Healing Behavior in Asphalt Mixtures and the Role of Steel Slag. Coatings. 2025; 15(6):668. https://doi.org/10.3390/coatings15060668
Chicago/Turabian StyleYan, Yihong, Wenbo Li, Chaochao Liu, and Boyang Pan. 2025. "Comprehensive Review of Thermally Induced Self-Healing Behavior in Asphalt Mixtures and the Role of Steel Slag" Coatings 15, no. 6: 668. https://doi.org/10.3390/coatings15060668
APA StyleYan, Y., Li, W., Liu, C., & Pan, B. (2025). Comprehensive Review of Thermally Induced Self-Healing Behavior in Asphalt Mixtures and the Role of Steel Slag. Coatings, 15(6), 668. https://doi.org/10.3390/coatings15060668