基于傅里叶变换红外光谱和化学计量学的沥青老化规律OA

To study the evolution of chemical structures in asphalt from different crude oil sources during the aging process and establishing a rapid identification model,based on Fourier Transform Infrared(FTIR)Spectroscopy combined with chemometrics analysis,this study examined 30 samples from five types of asphalt before and after aging.Similarity analysis,principal component Analysis(PCA),and hierarchical cluster analysis(HCA),and partial least squares discriminant analysis(PLS-DA)were employed to characterize the chemical changes induced by aging.The results show that the similarity of asphalt samples before and after aging is high,and there are differences in the correlation coefficient range of asphalt samples from different oil sources.Aging leads to the formation of carbonyl index and sulfoxide indices increase with the deepening of aging.Samples of the same asphalt and those from the same oil source remain within the same cluster with small spatial distances before and after aging,whereas samples from different oil sources show significant separation.The established PLS-DA model effectively distinguishes function can be used to distinguishes asphalts from different oil sources with an accuracy of 100%,demonstrating its reliability for rapid identification and classification of asphalt materials.