Study on Infrared Spectrum Analysis of Asphalt Aging Based on Full Spectrum Segmentation

Infrared spectroscopy is an effective method for studying asphalt aging. To improve the effectiveness of infrared spectroscopy in asphalt aging, this paper first performs preprocessing of the infrared spectral signals and divides the full spectrum into six segments. By quantitative analysis of the relation of noise and signals of different segments, a correlation model between noise and errors was established and a reasonable signal analysis range was determined. A stable method for describing the aging degree, which is based on the area change values of the infrared spectral curve over a wide wavelength range, was determined, and the aging model was established. Based on the relationship between PAV aging and natural aging, a model has been established to describe the relationship between the spectral area increase and aging in the asphalt pavement aging process. This model can be used to determine the actual service time of the asphalt pavement through infrared spectral analysis.