Molecular Dynamics Simulation of Polymer Concrete Enhanced by Carbon Nanoparticles: Effect of Surface Functional Groups
Polymer concrete (PC) has attracted considerable interest for its excellent deformation resistance and durability. However, the mechanical drawbacks of polymers, particularly their limited compressive strength, constrain the wider application and design flexibility of PC. While experimental techniques such as X-ray diffraction and scanning electron microscopy provide insights into nanoparticle interactions within the polymer matrix, they lack the resolution to fully elucidate nanoscale mechanisms. To bridge this gap, this study utilizes molecular dynamics (MD) simulations to analyze the shearing behavior of carbon nanoparticle (CNP)-reinforced PC composites. MD simulations allow for atomic-level insights into the interactions between CNPs and the polymer matrix, providing a more detailed understanding of how surface-modified CNPs enhance mechanical properties. Our results show that surface-modified CNPs influence the distribution and conformation of epoxy within the PC system. Amino-functionalized CNPs strengthen the epoxy and calcium silicate hydrate (C-S-H) interface by facilitating calcium-oxygen bond formation. These interactions play a crucial role in improving the mechanical properties of PC. This study provides a fundamental understanding of how surface-modified CNPs reinforce PC and offers valuable insights for optimizing the performance of CNP-reinforced cementitious composites.
Authors
- Muhan Wang (ORCID: https://orcid.org/0000-0001-7786-4825)
- Dongshuai Hou (ORCID: https://orcid.org/0000-0002-1252-2987)
- Kaixuan Zhang (ORCID: https://orcid.org/0000-0002-9696-1716)
- Shaochun Li (ORCID: https://orcid.org/0000-0001-9128-4982)
Institutions
- Qingdao University of Technology (CN)
Publication Details
- Journal
- Langmuir
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1021/acs.langmuir.5c00346
- Citations
- 7
- Primary Topic
- Carbon Nanotubes in Composites
- Type
- article
- Field-Weighted Citation Impact
- 3.62
Funders
- Department of Education of Shandong Province
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Taishan Scholar Project of Shandong Province
- Higher Education Discipline Innovation Project
- National Key Research and Development Program of China