| 引用本文: | 郝晟,纪伦,邬金麒,周舰航,谭忆秋.基于筛余特征参数的沥青混合料路用性能预测方法[J].哈尔滨工业大学学报,2023,55(11):7.DOI:10.11918/202206019 |
| HAO Sheng,JI Lun,WU Jinqi,ZHOU Jianhang,TAN Yiqiu.Road performance prediction method of asphalt mixture based on screen residual characteristic parameters[J].Journal of Harbin Institute of Technology,2023,55(11):7.DOI:10.11918/202206019 |
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| 摘要: |
| 为研究混合料级配变异与路用性能的关系,预测沥青混合料的路用性能,构建了典型的沥青混合料级配变异模式,提出筛余特征参数来表征混合料的级配变异特征,并使用SPSS软件对混合料的结构参数与路用性能进行相关性分析,建立了沥青混合料路用性能预测方法,以沥青混合料结构参数为中介,通过回归分析建立变异级配筛余特征参数与路用性能指标的关系方程,并确定了各路用性能指标值的合格标准。通过试验进行了沥青混合料路用性能预测方法的验证,结果表明,该方法对马歇尔稳定度、冻融劈裂强度比、蠕变速率、残留稳定度的预测与实际结果符合较好。可据此实现对沥青混合料变异级配的部分路用性能结果的预测,在不影响施工进程的条件下实现快速调整施工配合比,保证了沥青混合料的路用性能。 |
| 关键词: 级配变异 结构参数 相关性分析 回归分析 路用性能预测 |
| DOI：10.11918/202206019 |
| 分类号:U415.1 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(U20A20315)；国家重点研发计划(2016YFE0202400) |
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| Road performance prediction method of asphalt mixture based on screen residual characteristic parameters |
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HAO Sheng1,2,JI Lun1,WU Jinqi1,ZHOU Jianhang3,TAN Yiqiu1
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（1.School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2.Tianjin Municipal Engineering Design & Research Institute Co.,Ltd., Tianjin 300392, China; 3.Heilongjiang Longjian Road & Bridge Sixth Limited Company, Harbin 150090, China）
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| Abstract: |
| In order to study the relationship between mixture gradation variation and road performance, the road performance of asphalt mixture was predicted. In this paper, a typical asphalt mixture grading variation model was constructed, and the screening residual characteristic parameters were proposed to characterize the mixture grading variation characteristics. SPSS software was used to analyze the correlation between the structural parameters of the mixture and the road performance, and a prediction method for the road performance of asphalt mixture was established, with the asphalt mixture structural parameters as the medium. Through regression analysis, the relationship equation between the variable gradation screen residual characteristic parameters and the road performance index is established, and the qualification criteria of each road performance index value is determined. The results show that the prediction of Marshall stability, freeze-thaw splitting strength ratio, creep rate and residual stability of asphalt mixture are in good agreement with the actual results. It can be used to predict the partial pavement performance of asphalt mixture with variable gradation, adjust the construction mix quickly without affecting the construction process, and ensure the pavement performance of asphalt mixture. |
| Key words: grading variation structural parameters correlation analysis regression analysis road performance prediction |
