Generation and properties of the new asphalt binder model using molecular dynamics (MD)

Abstract Asphalt binder is the main material for road pavement and building construction. It is a complex mixture composed of a large number of hydrocarbons with different molecular weights. The study of asphalt binders and asphalt concretes from a molecular perspective is an important means to unde...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Hui Yao, Junfu Liu, Mei Xu, Andreas Bick, Qing Xu, Jinxi Zhang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/5d9254f32ab84c98a97d1442bf8ce272
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:5d9254f32ab84c98a97d1442bf8ce272
record_format dspace
spelling oai:doaj.org-article:5d9254f32ab84c98a97d1442bf8ce2722021-12-02T17:01:43ZGeneration and properties of the new asphalt binder model using molecular dynamics (MD)10.1038/s41598-021-89339-52045-2322https://doaj.org/article/5d9254f32ab84c98a97d1442bf8ce2722021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89339-5https://doaj.org/toc/2045-2322Abstract Asphalt binder is the main material for road pavement and building construction. It is a complex mixture composed of a large number of hydrocarbons with different molecular weights. The study of asphalt binders and asphalt concretes from a molecular perspective is an important means to understand the intricate properties of asphalt. Molecular dynamics simulation is based on Newton’s law and predicts the microscopic performance of materials by calculating the intra- and intermolecular interactions. The asphalt binder can be divided into four components: saturates, aromatics, resins, and asphaltenes (SARA). A new molecular model of asphalt was proposed and verified in this study. Eight molecules selected from the literature were used to represent the four components of asphalt. The AMBER Cornell Extension Force Field was applied in this study to model building and the calculation of properties. The density of the asphalt model was calculated and compared with experimental results for validity verifications. The results show that the purposed model can be used to calculate the microscopic properties of the asphalt binder because the density of the model is close to the real value in the field. Besides, the proportions of different molecules in the model were adjusted to predict the relationship between the asphalt binder density and the hydrocarbon ratios and heteroatom contents of the molecular model. Moreover, the glass transition temperature of the asphalt binder model is predicted by the simulation of the heating process. The range of the glass transition temperature is determined by calculating the relationship between specific volume and temperature, and the calculated range is close to the experimental value.Hui YaoJunfu LiuMei XuAndreas BickQing XuJinxi ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hui Yao
Junfu Liu
Mei Xu
Andreas Bick
Qing Xu
Jinxi Zhang
Generation and properties of the new asphalt binder model using molecular dynamics (MD)
description Abstract Asphalt binder is the main material for road pavement and building construction. It is a complex mixture composed of a large number of hydrocarbons with different molecular weights. The study of asphalt binders and asphalt concretes from a molecular perspective is an important means to understand the intricate properties of asphalt. Molecular dynamics simulation is based on Newton’s law and predicts the microscopic performance of materials by calculating the intra- and intermolecular interactions. The asphalt binder can be divided into four components: saturates, aromatics, resins, and asphaltenes (SARA). A new molecular model of asphalt was proposed and verified in this study. Eight molecules selected from the literature were used to represent the four components of asphalt. The AMBER Cornell Extension Force Field was applied in this study to model building and the calculation of properties. The density of the asphalt model was calculated and compared with experimental results for validity verifications. The results show that the purposed model can be used to calculate the microscopic properties of the asphalt binder because the density of the model is close to the real value in the field. Besides, the proportions of different molecules in the model were adjusted to predict the relationship between the asphalt binder density and the hydrocarbon ratios and heteroatom contents of the molecular model. Moreover, the glass transition temperature of the asphalt binder model is predicted by the simulation of the heating process. The range of the glass transition temperature is determined by calculating the relationship between specific volume and temperature, and the calculated range is close to the experimental value.
format article
author Hui Yao
Junfu Liu
Mei Xu
Andreas Bick
Qing Xu
Jinxi Zhang
author_facet Hui Yao
Junfu Liu
Mei Xu
Andreas Bick
Qing Xu
Jinxi Zhang
author_sort Hui Yao
title Generation and properties of the new asphalt binder model using molecular dynamics (MD)
title_short Generation and properties of the new asphalt binder model using molecular dynamics (MD)
title_full Generation and properties of the new asphalt binder model using molecular dynamics (MD)
title_fullStr Generation and properties of the new asphalt binder model using molecular dynamics (MD)
title_full_unstemmed Generation and properties of the new asphalt binder model using molecular dynamics (MD)
title_sort generation and properties of the new asphalt binder model using molecular dynamics (md)
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/5d9254f32ab84c98a97d1442bf8ce272
work_keys_str_mv AT huiyao generationandpropertiesofthenewasphaltbindermodelusingmoleculardynamicsmd
AT junfuliu generationandpropertiesofthenewasphaltbindermodelusingmoleculardynamicsmd
AT meixu generationandpropertiesofthenewasphaltbindermodelusingmoleculardynamicsmd
AT andreasbick generationandpropertiesofthenewasphaltbindermodelusingmoleculardynamicsmd
AT qingxu generationandpropertiesofthenewasphaltbindermodelusingmoleculardynamicsmd
AT jinxizhang generationandpropertiesofthenewasphaltbindermodelusingmoleculardynamicsmd
_version_ 1718382062985019392