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Prediction method for aging time course of asphalt

A prediction method and asphalt technology, applied in the direction of measuring devices, material analysis through optical means, instruments, etc., can solve the problems of limiting the application of asphalt on roads, complex problems, etc., to overcome the instability of the measurement environment, fast acquisition, and ensure repeatability Effect

Active Publication Date: 2019-11-15
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

However, some areas in the spectrogram do not change with the deepening of asphalt aging, and the establishment of a model with the full spectrum of infrared spectrum makes the problem more complicated, thus limiting its application in judging the aging degree of road asphalt

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  • Prediction method for aging time course of asphalt
  • Prediction method for aging time course of asphalt
  • Prediction method for aging time course of asphalt

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Embodiment Construction

[0029] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0030] This embodiment provides a method for predicting the aging time course of asphalt, comprising the following steps:

[0031] Step S1: Take 4 asphalt samples (the four asphalt samples in this embodiment are Jinling 70#, Tepke 70#, SBS-1 and SBS-2 asphalt as examples, wherein the first two are base asphalt, and the latter two are Modified asphalt), and each said asphalt sample is equally divided into 5 small samples, and the 5 small samples corresponding to each part of the asphalt sample are respectively baked at a constant temperature of different durations in a rotary film oven at 163 ° C. To carry out different degrees of aging treatment, and the aging treatment process of the four asphalt samples is consist...

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Abstract

The invention discloses a prediction method for an aging time course of asphalt. The prediction method comprises the steps of dividing a plurality of asphalt samples into multiple parts and respectively subjecting the asphalt samples to heat aging in different durations; quickly melting each aged small sample and flatly coating the small samples to dry and clean surfaces of SiO2 glass sheets, completely covering the surfaces of the SiO2 glass sheets, then adopting a fourier transform infrared spectrometer and selecting a diamond ATR (Attenuated Total Reflectance) to perform spectrogram collection on the asphalt on each of the SiO2 glass sheets; analyzing each small sample through a graph obtained by processing of step S3 by using a total reflection infrared spectroscopy and an infrared spectrogram quantitative analysis method, and constructing a principal component-based asphalt aging time course prediction model by using the results obtained by analysis; and collecting the spectrogramof a to-be-predicted sample and then analyzing the obtained spectrogram by using the total reflection infrared spectroscopy and the infrared spectrogram quantitative analysis method, importing the analysis result into the prediction model obtained in step S4 to obtain the aging time course of the to-be-predicted asphalt. The prediction method is simple and convenient.

Description

technical field [0001] The invention belongs to the field of road engineering, in particular to a method for predicting the aging time course of asphalt based on infrared spectrum. Background technique [0002] Asphalt is a blend of high molecular weight organic compounds. Slow aging during pavement service will lead to changes in chemical composition and rheological properties, and asphalt aging plays a key role in its road performance. It has always been a road construction material. research hotspots. Due to the complexity of asphalt structure and changes in its properties, it is difficult to distinguish the aging stage of asphalt, and the nodes of road maintenance cannot be accurately grasped, resulting in an increase in the scale of road maintenance investment in my country year by year. Therefore, the identification of road asphalt aging degree has considerable research value, which can provide a theoretical basis for road maintenance departments. Infrared spectrosco...

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Application Information

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IPC IPC(8): G01N21/3577
CPCG01N21/3577
Inventor 秦映雪杨艳梅周兴林
Owner WUHAN UNIV OF SCI & TECH