石墨烯尺寸对沥青自修复性能影响机制研究
Study on influence mechanism of graphene size on self-healing performance of asphalt
摘要
Abstract
[Purposes]This work aims to explore the influence and mechanism of the change in graphene size on the self-healing performance of asphalt.[Methods]The self-healing ability of single-layer,few-layer,and multi-layer graphene-modified asphalt was evaluated macroscopically by a dynamic shear rheometer test method.The influence mechanism of graphene size on the self-healing performance of asphalt was analyzed at the molecular level by molecular dynamics(MD)simulation technology.[Findings]The self-healing ability of graphene-modified asphalt first decreases and then increases with the decrease in the number of graphene layers.The fatigue life ratio,complex modulus increment ratio,and cumulative dissipated energy ratio of the multi-layer graphene-modified asphalt(MGMA)before and after self-healing are 38.8%,101.2%,and 42.3%higher than those of the few-layer graphene-modified asphalt(FGMA),respectively.The van der Waals potential energy of the graphene-modified asphalt decreases during the self-healing process of microcracks,resulting in a decrease in the system energy.The interaction energy between molecules around the crack of MGMA is 24.4%and 9.2%higher than that of FGMA and singer-layer graphene-modified asphalt(SGMA),respectively.In the self-healing process of graphene-modified asphalt,the diffusion coefficient of the saturated component is larger than that of other components,which first decreases and then increases with the decrease in graphene size.[Conclusions]The micro-crack self-healing ability of graphene-modified asphalt mainly depends on the van der Waals force and diffusion ability of saturated components.MGMA,SGMA,and FGMA are ranked in descending order of self-healing performance.关键词
道路工程/改性沥青/石墨烯/自修复性能/尺寸/分子动力学Key words
road engineering/modified asphalt/graphene/self-healing performance/size/molecular dynamics分类
交通工程引用本文复制引用
高英力,詹明涛,谢雨彤,朱俊材,田维伟,廖美捷,王蒴..石墨烯尺寸对沥青自修复性能影响机制研究[J].长沙理工大学学报（自然科学版）,2025,22(3):116-129,14.基金项目
国家自然科学基金资助项目(52278239、52308234、52209154) （52278239、52308234、52209154）
湖南省自然科学基金资助项目(2022JJ30042、2023JJ30040) （2022JJ30042、2023JJ30040）
国家教育部"春晖计划"合作科研项目(HZKY20220358) （HZKY20220358）
湖南省青年科技人才扶持计划(2022RC1175) （2022RC1175）
长沙理工大学研究生科研创新项目(CSLGCX23133) Projects(52278239,52308234,and 52209154)supported by the National Natural Science Foundation of China （CSLGCX23133）
Projects(2022JJ30042 and 2023JJ30040)supported by Natural Science Foundation of Hunan Province （2022JJ30042 and 2023JJ30040）
Project(HZKY20220358)supported by"Chunhui Program"Cooperative Research Project of Ministry of Education of China （HZKY20220358）
Project(2022RC1175)supported by Hunan Provincial Young Talent Support Program in Science and Technology Field （2022RC1175）
Project(CSLGCX23133)supported by Graduate Student Research and Innovation Program of Changsha University of Science&Technology （CSLGCX23133）
