Molecular dynamics simulation and analytical investigations into dynamic crosslinking mechanism of epoxy asphalt

The crosslinking kinetics of epoxy asphalt (EA) present a potential path for improving performance and stability in various environmental conditions. The intricate connection between the evolution of molecular structure and mechanical properties during curing poses a significant hurdle for implementation. To address this issue, we applied atomic-scale molecular dynamics simulations to develop comprehensive profiles of EA at different degrees of crosslinking. By quantifying key metrics—interaction energy, radial distribution function (RDF), cohesive energy density (CED), and solubility parameter (δ)—we clarify how crosslinking regulates system stability, compatibility, molecular interactions, and network evolution. Concurrently, radius of gyration (Rg) and diffusion coefficient (D) reveal changes in network compactness. We find that increasing crosslinking yields a denser network mainly stabilized by van der Waals interactions, with limited electrostatic contributions. At 65.82 % crosslinking, the system reaches an optimal balance among compatibility, molecular interactions, diffusion behavior, and network structural evolution, representing the most stable microstructural state. Fourier transform infrared spectroscopy (FTIR) and fluorescence microscopy (FM) confirm that epoxy–anhydride ring-opening reactions dominate the curing process. Mechanical evaluations show that the stiffness–ductility balance is optimized at 35.62 % crosslinking in experiments, while simulations identify 44.63 % as the optimal point for strength–toughness, indicating that the best overall mechanical performance falls within this crosslinking interval. These insights establish a transferable molecular-level framework for predicting and optimizing the compatibility, diffusion capacity, and stiffness–ductility balance of EA at different crosslinking degrees, providing theoretical support and preliminary guidance for formulation design and material selection in engineering applications. • Atomic‑scale MD on EA models (5.83–98.42 % crosslinking) reveals dynamic crosslinking mechanisms. • Interaction energy, RDF, CED and δ analyses reveal good compatibility at 25.83 % and network stability at 65.82 %. • FTIR and fluorescence microscopy confirm epoxy–MTHPA ring‑opening curing and map morphological evolution. • Mechanical tests show optimal stiffness-ductility at 35.62 % and strength-toughness at 44.63 %, guiding molecular design.

Authors

Institutions

Publication Details

Journal
Construction and Building Materials
Published
2025-12-22
DOI
https://doi.org/10.1016/j.conbuildmat.2025.144975
Citations
1
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular dynamics simulation and analytical investigations into dynamic crosslinking mechanism of epoxy asphalt

Wei LIAO, Haitao ZHANG, Bo LIANG, Zhengchun LIU
1 citations
Construction and Building Materials
Asphalt Pavement Performance Evaluation
0.95
article

Molecular dynamics simulation and analytical investigations into dynamic crosslinking mechanism of epoxy asphalt

Wei LIAO, Haitao ZHANG, Bo LIANG, Zhengchun LIU
article en
1 citations

Abstract

The crosslinking kinetics of epoxy asphalt (EA) present a potential path for improving performance and stability in various environmental conditions. The intricate connection between the evolution of molecular structure and mechanical properties during curing poses a significant hurdle for implementation. To address this issue, we applied atomic-scale molecular dynamics simulations to develop comprehensive profiles of EA at different degrees of crosslinking. By quantifying key metrics—interaction energy, radial distribution function (RDF), cohesive energy density (CED), and solubility parameter (δ)—we clarify how crosslinking regulates system stability, compatibility, molecular interactions, and network evolution. Concurrently, radius of gyration (Rg) and diffusion coefficient (D) reveal changes in network compactness. We find that increasing crosslinking yields a denser network mainly stabilized by van der Waals interactions, with limited electrostatic contributions. At 65.82 % crosslinking, the system reaches an optimal balance among compatibility, molecular interactions, diffusion behavior, and network structural evolution, representing the most stable microstructural state. Fourier transform infrared spectroscopy (FTIR) and fluorescence microscopy (FM) confirm that epoxy–anhydride ring-opening reactions dominate the curing process. Mechanical evaluations show that the stiffness–ductility balance is optimized at 35.62 % crosslinking in experiments, while simulations identify 44.63 % as the optimal point for strength–toughness, indicating that the best overall mechanical performance falls within this crosslinking interval. These insights establish a transferable molecular-level framework for predicting and optimizing the compatibility, diffusion capacity, and stiffness–ductility balance of EA at different crosslinking degrees, providing theoretical support and preliminary guidance for formulation design and material selection in engineering applications. • Atomic‑scale MD on EA models (5.83–98.42 % crosslinking) reveals dynamic crosslinking mechanisms. • Interaction energy, RDF, CED and δ analyses reveal good compatibility at 25.83 % and network stability at 65.82 %. • FTIR and fluorescence microscopy confirm epoxy–MTHPA ring‑opening curing and map morphological evolution. • Mechanical tests show optimal stiffness-ductility at 35.62 % and strength-toughness at 44.63 %, guiding molecular design.

Construction and Building MaterialsVol. 506
Central South University (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 18%
Asphalt Pavement Performance Evaluation
0.95
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.