| 摘要: |
| 为了实现沥青路面密度的准确预估，开展了沥青混合料的介电特性测试和密度预估模型对比研究.基于多相复合材料的电磁混合理论，推导出沥青混合料的4种密度预估模型（CRIM模型、Rayleigh模型、Böttcher模型和ALL模型）；使用Percometer介电常数仪测定了沥青混合料旋转压实试件及其组分的相对介电常数，综合考虑了沥青混合料矿料级配类型和空隙率因素，进行了不同模型预估密度值与表干法实测密度值的误差分析；最后通过现场AC-20沥青路面探地雷达检测以及取芯检测验证了优选模型的准确性.结果表明：Percometer介电常数仪测得的沥青路面相对介电常数与探地雷达检测结果具有较好的一致性，沥青混合料密度预估模型的精度受到级配类型和空隙率的影响；与CRIM模型和Böttcher模型相比，Rayleigh模型和ALL模型更适用于沥青混合料密度预估，其中ALL模型预估精度最高. |
| 关键词: 沥青混合料 电磁混合理论 密度预估模型 相对介电常数 |
| DOI：10.3969/j.issn.1007-9629.2022.06.015 |
| 分类号:U416.217 |
| 基金项目:广东省城市空间信息工程重点实验室开放基金资助项目（SZU51029202005）；国家自然科学基金资助项目（U20A20315） |
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| Density Prediction Method of Asphalt Pavement Based on Electromagnetic Mixing Theory |
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XIONG Xuetang1, TAN Yiqiu1,2, ZHANG Dejin3, XIAO Shenqing1, WANG Wei1
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1.School of Science and Engineering， Harbin Institute of Technology， Harbin 150090， China;2.State Key Laboratory of Urban Water Resource and Environment， Harbin Institute of Technology， Harbin 150090， China;3.Guangdong Key Laboratory for Urban Informatics， Shenzhen University， Shenzhen 518060， China
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| Abstract: |
| To realize the accurate estimation of the asphalt pavement density， the dielectric property test and density prediction model comparison of the asphalt mixture were carried out. Four density prediction models （CRIM model， Rayleigh model， Böttcher model and ALL model） of the asphalt mixture were derived from the electromagnetic mixing theory of the multiphase composite materials. The relative permittivity values of the asphalt mixture specimens prepared by superpave gyratory compactor and its components were measured by Percometer dielectric constant detector. Considering the gradation type and void ratio of the asphalt mixture， the errors between the density values estimated by different models and measured by surface dry method were thoroughly analysed. Finally， the density prediction accuracies of the optimal models were verified by the Ground Penetrating Radar detection and core data of the on-site AC-20 asphalt pavement. The results demonstrate that the consistency of asphalt pavement relative permittivity measurement between Percometer and Ground Penetrating Radar can be obtained. The accuracy of asphalt mixture density prediction model is affected by gradation type and void ratio. Rayleigh model and ALL model are more suitable for the density prediction of asphalt mixture than CRIM model and Böttcher model. ALL model has the highest precision. |
| Key words: asphalt mixture electromagnetic mixing theory density prediction model relative permittivity |
