中南大学学报（自然科学版）2026，Vol.57Issue(4)：1624-1635,12.DOI:10.11817/j.issn.1672-7207.2026.04.014
宽域空隙率沥青混合料设计方法及空隙-骨架结构参数分析
Design method for asphalt mixture with wide-range air voids and analysis of void-skeleton structure parameters
摘要
Abstract
To systematically investigate the void and skeleton structural characteristics of asphalt mixtures across a wide range of void ratios,the main skeleton void filling method was improved based on the gradual packing theory,and a void ratio-based design method for skeleton-type asphalt mixtures was established.Using this method,specimens with four void ratios,i.e.,4%,11%,14%,and 18%were prepared.The void structure was quantitatively analyzed,and complex network theory was introduced to characterize the skeleton structure.The results indicate that the two-dimensional void ratio within the specimens exhibits a distribution pattern of higher values at the top and bottom and lower values in the middle along the height direction,and the average void radius and coordination number show a consistent trend.The permeability of the mixture increases exponentially with increase of the void ratio.In terms of mesoscopic skeleton structure,the aggregate degree distribution is uniform,indicating good structural integrity.However,as the void ratio increases,both the particle node degree and clustering coefficient of the skeleton network gradually increase,while the shortest path length first decreases and then increases,which suggests that excessively high void ratios can weaken the overall integrity of the skeleton.The void ratio significantly influences the void structure and skeleton connection characteristics of the mixture,providing an basis for the design of asphalt mixtures.关键词
宽域空隙率/主骨架空隙体积填充法/逐级填充/复杂网络理论/骨架结构Key words
wide-range void ratio/coarse aggregate voids filling method/step-by-step filling/complex network theory/skeleton structure分类
交通工程引用本文复制引用
宋卫民,闫文龙,吴昊..宽域空隙率沥青混合料设计方法及空隙-骨架结构参数分析[J].中南大学学报（自然科学版）,2026,57(4):1624-1635,12.基金项目
国家自然科学基金资助项目(52478291) （52478291）
湖南省自然科学基金资助项目(2024JJ5437)(Project(52478291)supported by the National Science Foundation of China （2024JJ5437）
Project(2024JJ5437)supported by the Natural Science Foundation of Hunan Province) （2024JJ5437）
