大连理工大学 建设工程学部，辽宁 大连 116024
殷 鹏（1999—），男，江苏淮安人，大连理工大学博士生.E-mail： yp2021@mail.dlut.edu.cn
潘宝峰（1967—），男，内蒙古赤峰人，大连理工大学教授，博士生导师，博士. E-mail： panbf@dlut.edu.cn
U414
Faculty of Infrastructure Engineering， Dalian University of Technology， Dalian 116024， China
通过多重应力蠕变恢复（MSCR）试验计算了不同再生剂掺量下再生沥青的高温黏弹性特征参数，然后采用3种黏弹性本构模型分别构建了再生沥青高温本构模型，并结合主成分分析（PCA）模型评价了适用于再生沥青高温性能研究的本构模型.结果表明：Burgers模型和三参数固体模型在评价再生沥青高温性能时，特征参数呈现显著的交替波动性，而四参数固体模型具有较好的稳定性；PCA模型发现四参数固体模型比Burgers模型和三参数固体模型具有更显著的评价效果，验证了采用四参数固体模型评价再生沥青高温性能的可靠性.
The high temperature viscoelastic characteristic parameters of recycled asphalts with different rejuvenator dosages were determind by multiple stress creep recovery（MSCR） test. And three types of constitutive models were used to construct the constitutive model for high temperature performance of recycled asphalt. Then combind with principal component analysis（PCA） model the constitutive model for high temperature performance studies of recycled asphalt was evaluated. The results show that the Burgers model and three-parameter solid model exhibit significant alternating fluctuations in the characteristic parameters when evaluating the high temperature performance of recycled asphalt， while four-parameter solid model has good stability. PCA model shows that four-parameter solid model has more significant evaluation effect compared with Burgers model and three-parameter solid model， which verifies the reliability of using four-parameter solid model to evaluate the high temperature performance of recycled asphalt.
殷鹏,潘宝峰.基于
