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Review
. 2025 Jul 27;17(15):2051.
doi: 10.3390/polym17152051.

Performance of Asphalt Materials Based on Molecular Dynamics Simulation: A Review

Affiliations
Review

Performance of Asphalt Materials Based on Molecular Dynamics Simulation: A Review

Chengwei Xing et al. Polymers (Basel). .

Abstract

With the rising performance demands in road engineering, traditional experiments often fail to reveal the microscopic mechanisms behind asphalt behavior. Molecular dynamics (MD) simulation has emerged as a valuable complement, enabling molecular-level insights into asphalt's composition, structure, and aging mechanisms. This review summarizes the recent advances in applying MD to asphalt research. It first outlines molecular model construction approaches, including average models, three- and four-component systems, and modified models incorporating SBS, SBR, PU, PE, and asphalt-aggregate interfaces. It then analyzes how MD reveals the key performance aspects-such as high-temperature stability, low-temperature flexibility, self-healing behavior, aging processes, and interfacial adhesion-by capturing the molecular interactions. While MD offers significant advantages, challenges remain: idealized modeling, high computational demands, limited chemical reaction simulation, and difficulties in multi-scale coupling. This paper aims to provide theoretical insights and methodological support for future studies on asphalt performance and highlights MD simulation as a promising tool in pavement material science.

Keywords: aging; asphalt binder; asphalt modifiers; interfacial adhesion; molecular dynamics simulation; molecular modeling; self-healing.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1
Figure 1
Analysis of related papers: (a) chart of the number of years of the publication literature (b) frequency of citations (c) number of papers by country (d) number of document types.
Figure 2
Figure 2
Eight average molecular models for bitumen binders [2,15].
Figure 3
Figure 3
Molecular structures of three components of asphalt binder. (a) Asphaltenes; (b) resins; (c) n-C22 (n-docosane) [22].
Figure 4
Figure 4
Four-component molecular model of asphalt. (a) Pyrrole; (b) molecules derived from maltene condensation reactions; (c) 1,7-dimethylnaphthalene; (d) n-docosane (n-C22); (e) virgin asphalt [6].
Figure 5
Figure 5
Four-component 12-molecule model of asphalt [31].
Figure 6
Figure 6
AAA-1 molecular model of asphalt [32].
Figure 7
Figure 7
Twenty-molecule model of asphalt [30].
Figure 8
Figure 8
Molecular model of the SBS modifier [38].
Figure 9
Figure 9
Molecular models of SBS modifiers with different block ratios [40].
Figure 10
Figure 10
SBR molecular model [46].
Figure 11
Figure 11
Crystal cell model of asphalt and the SBR modifier [47].
Figure 12
Figure 12
PU molecular model [49].
Figure 13
Figure 13
Molecular model of PU [50].
Figure 14
Figure 14
Waste polyurethane molecular chain [51].
Figure 15
Figure 15
PE molecular model with different degrees of polymerization (a) 6 (b) 12 (c) 24 (d) 30 (e) 42 (f) 78 [53].
Figure 16
Figure 16
PE modifier model [54].
Figure 17
Figure 17
Graphene/RPE–modified asphalt models [55].
Figure 18
Figure 18
Unit cells of silicon dioxide and calcium oxide [61,62].
Figure 19
Figure 19
Unit cell structure and lattice parameters of calcite [63].
Figure 20
Figure 20
Mineral–bitumen interface systems after MD simulations: (a) quartz–asphalt model; (b) calcite–asphalt model; (c) albite–asphalt model; (d) microcline–asphalt model; and (e) locally enlarged interface structure for microcline–asphalt model [64].
Figure 21
Figure 21
Physical modulus of nano-ZnO/SBS-modified asphalt: elastic modulus (E), bulk modulus (K), and the shear modulus (G) [9].
Figure 22
Figure 22
Specific volume versus temperature curve of the AAA-1 asphalt model [75].
Figure 23
Figure 23
Aromatic carbon content of aromatics (Ars), resins (Rs), and asphaltenes (Ass) [76].
Figure 24
Figure 24
Self-healing model of asphalt [89].
Figure 25
Figure 25
Formation of functional groups in aged asphalt [60].
Figure 26
Figure 26
Short-term and long-term aging behavior of asphalt components [97].
Figure 27
Figure 27
Molecular structures of five asphalt models: (a) asphaltene molecules (O: red; N: blue; S: yellow; C: gray; H: white); (b) resin molecules (O: red; N: blue; S: yellow; C: gray; H: white); (c) aromatic molecules (O: red; C: gray; H: white); (d) saturate molecules (C: gray; H: white) [98].
Figure 28
Figure 28
Aged SBS modifier molecular model [102].
Figure 29
Figure 29
Aged SBS-modified asphalt molecular model [104].
Figure 30
Figure 30
Adhesion and healing model of aged asphalt–aggregate interface [60].
Figure 31
Figure 31
Comparison of the MSD of SARA fractions in virgin and aged asphalt for (a) asphaltene; (b) aromatic; (c) resin; and (d) saturate [100].
Figure 32
Figure 32
Interaction energy and its component predicted via MD simulation [115].
Figure 33
Figure 33
Work of adhesion between asphalt and aggregates [117].
Figure 34
Figure 34
Percentage of water intrusion at the interface of asphalt and different aggregates [119].

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