文献类型：期刊文献

英文题名：3D heterogeneous model created using computer-generated algorithm for evaluating thermophysical parameters of asphalt mixtures

作者：Fan, Shiping Zhu, Hongzhou Mou, Xinrui Zhang, Wenli Gan, Xinli

通信作者：Zhu, HZ[1]

机构：[1]Guizhou Inst Technol, Sch Transportat Engn, Guizhou 550025, Peoples R China;[2]Chongqing Jiaotong Univ, Natl & Local Joint Engn Res Ctr Transportat & Civi, Chongqing 400074, Peoples R China;[3]Chongqing Jiaotong Univ, Sch Civil Engn, Chongqing 400074, Peoples R China

第一机构：贵州理工学院

通信机构：corresponding author), Chongqing Jiaotong Univ, Natl & Local Joint Engn Res Ctr Transportat & Civi, Chongqing 400074, Peoples R China.

年份：2025

卷号：479

外文期刊名：CONSTRUCTION AND BUILDING MATERIALS

收录：;EI(收录号：20251718306373);Scopus(收录号：2-s2.0-105003408844);WOS:【SCI-EXPANDED(收录号:WOS:001483908300001)】；

基金：This work was supported by the National & Local Joint Engineering Research Center of Transportation and Civil Engineering Materials, Chongqing Jiaotong University (Program No. TCEM-2023-09) ; the Academic Emergence Training and Innovative Exploration Program of Guizhou Institute of Technology (Program No. 2024XSXM003) ; the Chongqing Natural Science Foundation Joint Fund for Innovation and Development Project (Program No. CSTB2022NSCQ-LZX00630) ; the National Natural Science Foundation of China (Program No. 52468061) ; Guizhou Provincial Key Technology R & D Program (Program No. [2023] General 299-088) ; Guizhou Provincial Basic Research Program (Pro-gram No. [2024] Youth 416) .

语种：英文

外文关键词：Asphalt concrete; Heterogeneous model; Thermal conductivity; Specific heat capacity; Computer-generated algorithm; Finite element

摘要：The thermal conductivity k and specific heat capacity C-p of asphalt concrete are key parameters that affect the thermal characteristics of asphalt pavements. Asphalt concrete consists of asphalt binder, aggregates, and voids. In this study, the effects of the k and C-p of each constituent material on the thermal properties of asphalt concrete were investigated using a 3D microstructure model, which included asphalt mastic, coarse aggregates, and voids, and was modeled via computer-generated algorithms based on Python, PFC3D, SOLIDWORKS, and ABAQUS software (PPSA). The numerical simulation results were validated by experimentally measuring the k and C-p of asphalt concrete with the same material composition as that of the 3D model. Besides, the effects of the void ratio, asphalt binder content, aggregate content, and thermophysical parameters of the asphalt binder and aggregate on the k and C-p of the asphalt concrete were analyzed Using the 3D microstructure model. The results show that the k and C-p of the asphalt binder, limestone aggregate, and asphalt concrete have a strong linear relationship with temperature (R-2 > 0.93). The relative errors between the numerical and experimental results for the equivalent k and C-p are less than 4.5 % and 12.3 %, respectively, which indicates that the established model can effectively analyze the asphalt concrete's k and C-p. The aggregates have a strongest effect on the k and C-p of asphalt concrete, followed by asphalt binder, with voids have a least effect. These results may provide a basis for optimizing asphalt mixture design to reduce the effects of asphalt pavement on the urban heat island effect.