东南大学学报（自然科学版）2017，Vol.47Issue(5)：1013-1019,7.DOI:10.3969/j.issn.1001-0505.2017.05.027
沥青混合料高温蠕变失稳点预测模型及参数影响
Prediction models of creep instability points for asphalt mixtures at high temperature and parameters effects on model
摘要
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 (Fs) corre sponding 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.关键词
沥青混合料/蠕变失稳点/三轴试验/预测模型Key words
asphalt mixture/creep instability points/triaxial test/prediction model分类
交通工程引用本文复制引用
顾兴宇,吕俊秀,张小元,邹晓勇..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):1013-1019,7.基金项目
国家自然科学基金资助项目(51108082). （51108082）
