# [1]顾兴宇,吕俊秀,张小元,等.沥青混合料高温蠕变失稳点预测模型及参数影响[J].东南大学学报(自然科学版),2017,47(5):1013-1019.[doi:10.3969/j.issn.1001-0505.2017.05.027] 　Gu Xingyu,Lü Junxiu,Zhang Xiaoyuan,et al.Prediction models of creep instability points for asphalt mixtures at high temperature and parameters effects on model[J].Journal of Southeast University (Natural Science Edition),2017,47(5):1013-1019.[doi:10.3969/j.issn.1001-0505.2017.05.027] 点击复制 沥青混合料高温蠕变失稳点预测模型及参数影响() 分享到： var jiathis_config = { data_track_clickback: true };

47

2017年第5期

1013-1019

2017-09-20

## 文章信息/Info

Title:
Prediction models of creep instability points for asphalt mixtures at high temperature and parameters effects on model

1东南大学交通学院, 南京 210096; 2金华市公路管理局, 金华 321103
Author(s):
1School of Transportation, Southeast University, Nanjing 210096, China
2Jinhua Highway Administration Bureau, Jinhua 321103, China

Keywords:

U416.217
DOI:
10.3969/j.issn.1001-0505.2017.05.027

Abstract:
The prediction models of the creep instability points of dense-graded asphalt mixtures were established at high temperatures, and the influence factors of model parameters were studied, based on the pressure-shear failure theory. First, the compressive strength values under different confining pressures and shear strength parameters were obtained through triaxial compression tests at high temperatures. Secondly, multiple repeated pressure values were applied to dynamic triaxial creep tests at the same temperature and corresponding confining pressure, and the rheological numbers(FN)corresponding to the creep instability points of the asphalt mixtures were obtained. Thirdly, the prediction models of the asphalt mixtures were established by analyzing the change law of FN under different confining pressures and cyclic loading pressures. Finally, the FN values of the different additive mixtures were predicted using the models. The reliability of the prediction results was verified by the test. Furthermore, the influence factors of model parameters were studied by changing the graduation and test temperatures. Results show that the predicted FN values of the asphalt mixtures are in agreement with the experimental results, and the model parameters are affected by the graduation and test temperatures. But the influence of additive can be ignored. The parameters a and b of AC20 gradation mixture are reduced by nearly 52.1% and 18.3%, respectively. The parameter a waves significantly, and the parameter b increases obviously with the increase of the temperature under the same gradation mixture.

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