Application of infrared spectroscopy and partial least-squares for modeling the correlation of bitumen dynamic shear rheological with temperature

作者：Wang, Kang^*; Yuan, Ye; Han, Sen; Niu, Yihan

来源：Petroleum Science and Technology, 2018, 36(15): 1194-1200.

DOI：10.1080/10916466.2018.1465968

• bitumen
• infrared spectra
• data pretreatment
• partial least-squares regression
• rheology

This paper reported a method for determining the correlation of the physical properties and the chemical composition of bitumen. The double-log model of dynamic shear modulus with temperature was performed for linearization treatment to obtained the constants, which were served as the independent variables using in partial least-squares(PLS) regression. In addition, infrared spectra were processed by data pretreatment methods and served as dependent variables in PLS. The regression vector b of PLS made possible the observation of the spectral regions contributing in the modeling, which provided a basis for research of the correlation between physical properties and chemical composition of bitumen.

• 出版日期2018
• 单位长安大学