1. Introduction
Asphalt pavements are widely used in highways and urban infrastructure due to their excellent durability, smooth surface, and resistance to wear. However, with the continuous increase in traffic loads and the effects of complex climatic conditions, asphalt pavements inevitably undergo deterioration. It has been estimated that approximately 30% of road surfaces in China exhibit varying degrees of damage, with the majority of the damage occurring to asphalt pavements. To address this issue, milling techniques have been employed to repair damaged pavements, generating a large amount of reclaimed asphalt pavement (RAP) in the process, which enables the recycling of resources. According to recent estimates, China generates nearly 150 million tons of RAP annually from pavement milling and rehabilitation activities [
1]. Simultaneously, as high-quality coarse aggregates become increasingly scarce, the recycling and reuse of RAP are regarded as both economically and environmentally advantageous. Against this background, research has focused on the macroscopic properties and mix design optimization of RAP in asphalt mixture [
2,
3], alongside investigations into its physical and chemical properties. As the demand for recycled RAP [
4] and its quality continues to increase, studying recycled asphalt from a microscopic molecular perspective can help clarify the mechanism of asphalt recycling, improve recycling efficiency, and enhance quality. This method provides a theoretical foundation for strengthening the internal structure of modified asphalt materials and refining rejuvenator formulations in real-world engineering applications.
Natural aging leads to the migration of chemical components and the irreversible degradation of the colloidal structure in RAP asphalt [
5,
6]. The formation of ketones, sulfoxides, and alcohols during the aging process has been identified as a primary cause of increased brittleness and stiffness in asphalt [
7,
8], which increases the risk of fatigue cracking in asphalt mixtures. A common practice adopted by transportation departments is to limit the incorporation rate of RAP [
9], treating it primarily as a substitute for aggregate. High RAP content necessitates the use of composite regeneration methods, where rejuvenators with low viscosity are applied to restore the rheological behavior of aged asphalt [
10,
11,
12,
13,
14]. Several factors influence asphalt regeneration, including the type of rejuvenator [
15,
16], the degree of RAP aging [
17], the RAP content [
18], and the incorporation technique [
19]. Arshad et al. [
20] evaluated the rutting resistance of asphalt mixtures containing varying amounts of RAP content through the Hamburg wheel tracking test, demonstrating that adding RAP notably improves the mixture’s performance against high-temperature rutting. Ghabchi et al. [
21] confirmed, based on surface free energy methods, that the RAP content is positively correlated with the water resistance of recycled mixtures.
Molecular dynamics (MD) simulations are not constrained by experimental setups or detection methods, providing a robust approach to address gaps in macroscopic testing. From a microscopic perspective, the underlying mechanisms of macroscopic behaviors can thus be revealed. Through the application of Newtonian mechanics, the energy dissipation processes of numerous molecules over time and space are elucidated [
22]. Benefiting from powerful and detailed molecular simulation capabilities [
23,
24,
25,
26], this study has preliminarily achieved a systematic investigation into the oxidative aging behavior of asphalt [
27] and regeneration processes involving aged, virgin, and rejuvenated asphalt [
28]. In this context, a comprehensive review by Meng et al. [
29] has summarized the applications of this technique in studying the properties of virgin asphalt, modified asphalt, and asphalt mixtures, highlighting that multi-factor integrated analysis will constitute a key direction for future research. Ding et al. [
30] utilized MD simulations to explore the diffusion behavior between virgin and aged asphalt, and their findings were corroborated through gel permeation chromatography (GPC). The study demonstrated that the addition of a rejuvenator notably improves the diffusion rate within the aged asphalt matrix. That temperature has a more pronounced effect on the migration of asphaltenes than on resins or aromatics. In addition, Cui et al. [
31,
32,
33,
34] emphasized that the diffusion rate of asphalt molecules is closely related to the molecular weights of its various components, making it a critical influencing factor. Among these, saturates exhibit the highest self-diffusion efficiency, followed by aromatics, resins, and asphaltenes. MD simulation methods have been demonstrated to effectively elucidate the diffusion behavior of asphalt molecules to some extent, providing valuable insights and approaches for studying regeneration mechanisms.
In summary, current research has primarily focused on optimizing the road performance of recycled mixtures by adding rejuvenators, selecting different types of rejuvenators to alter physical and chemical properties, and using MD simulations to model asphalt-aggregate adhesion, asphalt modifier compatibility studies, aging and recycling behavior studies, and asphalt self-healing capacity research. At the same time, there is limited discussion on studies based on molecular diffusion theory regarding the diffusion and fusion interface between virgin and aged asphalt. In particular, the lack of a coupled micro–macro framework linking molecular diffusion characteristics with experimentally observed physicochemical evolution restricts the mechanistic interpretation of rejuvenation efficiency. In this study, a microscopic model of the fusion and diffusion between virgin and aged asphalt was constructed based on molecular diffusion theory. Unlike previous studies, this work explicitly focuses on the formation and evolution of the diffusion interface, quantitatively characterizing molecular mobility and component interaction during the regeneration process. Combined with Fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC) tests, the evolution of molecular configurations during the diffusion process and their correlation with macroscopic properties were revealed. The regulatory mechanism of the rejuvenator was elucidated, providing theoretical support for optimizing rejuvenator design and improving RAP performance. The flowchart detailing the simulation and analytical procedures is shown in
Figure 1.
4. Conclusions and Recommendations
This study established molecular models representing virgin asphalt, aged asphalt, and rejuvenated asphalt blended with a rejuvenator based on molecular diffusion theory and constructed a bilayer interfacial diffusion system to evaluate the effect of the rejuvenator. The regulatory mechanism of rejuvenator-induced interfacial diffusion was validated through FTIR and DSC tests, thereby forming a verification framework between micro-level mechanisms and macro-scale performance. The main conclusions are as follows:
(1) Under the condition of 398 K, a 6% rejuvenator content significantly enhanced the interfacial diffusion efficiency between virgin and aged asphalt, with the diffusion coefficient reaching 2.643 × 10−6 cm2/s. The system density stabilized at 0.999 g/cm3, closely aligning with the typical density of virgin asphalt. Furthermore, the reduced fluctuation in the relative concentration profile indicated a more homogeneous molecular distribution, suggesting an optimal coupling between structural stability and diffusion performance. In contrast, 9% content led to local concentration fluctuations due to excessive light components, thereby weakening the interface fusion and further confirming 6% as the optimal content for rejuvenation.
(2) The 6% rejuvenator content significantly enhanced the retention capacity of the aromatic structures, with the aromatic index I1600 increasing to 0.021, while both ISO and ICO significantly decreased. Compared with lower rejuvenator contents, the 6% content supplied sufficient light and aromatic components to restore the molecular balance of aged asphalt, facilitating the performance recovery of aged asphalt through a microscopic mechanism. In contrast, excessive rejuvenator content may introduce local compositional fluctuations, which weaken interfacial stability. These findings are consistent with the simulation results, where interface fusion was enhanced, and the molecular distribution uniformity was improved in the molecular dynamics simulations. The modification mechanism study confirms that the OR-HV-HE modifier and asphalt form a cross-linked network through a free radical copolymerization reaction to delay the breaking of molecular chains.
(3) The incorporation of 6% rejuvenator reduced the Tg of the long-term aged asphalt to −28.32 °C, approaching that of the unaged asphalt and significantly outperforming the long-term aged sample. The introduction of light components in the rejuvenator effectively enhanced the molecular chain mobility and free volume of the asphalt molecules, thereby improving the flowability of the system at low temperatures. At this content, the enhanced molecular mobility improves low-temperature crack resistance without compromising interfacial stability. Higher rejuvenator contents tend to induce excessive molecular mobility, which weakens the synergistic effect between diffusion enhancement and structural integrity. This enhancement in low-temperature crack resistance was consistent with the increased diffusion coefficients and the more uniform molecular concentration distribution observed in the MD simulations, jointly confirming the synergistic mechanism by which the rejuvenator optimizes both low-temperature performance and interfacial compatibility.
(4) MD simulation serves as a practical approach to elucidate the microscopic diffusion and performance mechanisms of asphalt materials. It not only provides theoretical guidance and parameter references for experimental design but also holds promise for reducing the dependence on conventional macroscopic tests in future studies, thereby decreasing testing complexity and cost. This approach enables the identification of suitable rejuvenator contents that balance diffusion efficiency and performance recovery. By constructing rational molecular models and layered diffusion systems, the intrinsic relationships among rejuvenator content, diffusion behavior, and performance evolution can be predicted in advance. This offers methodological guidance and optimization strategies for laboratory testing, ultimately promoting RAP-related research toward higher efficiency, lower consumption, and mechanism-oriented development.