吉林大学学报(信息科学版) ›› 2018, Vol. 36 ›› Issue (5): 497-503.

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基于红外光谱的沥青SBS 含量自动测定方法

陈志国1,秦卫军1,卓瑞2,田冰1,钟涛2
  

  1. 1. 吉林省交通科技研究所 科技成果转化中心,长春130022; 2. 吉林大学 交通学院,长春130022
  • 出版日期:2018-09-24 发布日期:2019-01-18
  • 作者简介:陈志国( 1965— ) ,男,长春人,吉林省交通科技研究所研究员,主要从事道路结构理论与材料研究,( Tel) 86-431-86026005( E-mail) 1367087060@ qq. com; 通讯作者: 秦卫军( 1981— ) ,男,山东菏泽人,吉林省交通科技研究所高级工程师,主要从事道路新材料及检测新技术研究及新技术推广研究,( Tel) 86-13009130078( E-mail) 65311621@ qq. com。
  • 基金资助:
    吉林省交通运输科技计划基金资助项目( 2016-1-2)

Determination of SBS Content in Modified Asphalt Based on Infrared Spectroscopy

CHEN Zhiguo1,QIN Weijun1,ZHUO Rui2,TIAN Bing1,ZHONG Tao2   

  1. 1. Technological Achievement Transformation Center,Jilin Province Institute of Transportation Science,Changchun 130022,China;2. College of Transportation,Jilin University,Changchun 130022,China
  • Online:2018-09-24 Published:2019-01-18
  • Contact: 通讯作者: 秦卫军( 1981— ) ,男,山东菏泽人,吉林省交通科技研究所高级工程师,主要从事道路新材料及检测新技术研究及新技术推广研究,( Tel) 86-13009130078( E-mail) 65311621@ qq. com。

摘要: 为有效检测沥青中SBS( Styrene-Butadiene-Styrene Copolymer) 含量,提出了一种基于红外光谱法测定改性沥青SBS 含量的方法。该方法对比分析SBS 改性剂和基质沥青红外光谱,确定SBS 改性剂特征峰966 成为定量测定沥青SBS 的关键点,引入复化辛普生求积公式求吸收峰峰面积; 依据朗伯-比耳定律,通过最小二乘法拟合出峰面积比与SBS 含量之间关系的标准曲线。最后用辽河石化70#基质沥青制备不同SBS 含量的改性沥青,最终校正样本和测试样本测定的SBS 含量平均误差分别是0. 14%、0. 02%。实验结果表明,该方法相比原有凝胶渗透色谱等试验测定方法具有速度快、精度高、易操做等特点,为今后道路建设工程中及时检测沥青
SBS 含量提供一种科学有效的方法。

关键词: SBS 改性剂, 基质沥青, 红外光谱, 复化辛普生求积, 最小二乘法

Abstract: In order to effectively detect the SBS ( Styrene-Butadiene-Styrene Copolymer) content in modified asphalt,an improved method based onInfrared spectroscopy is presented. By comparing the SBS modifier’ sspectroscopyandmatrix asphalt's spectroscopy,the characteristic absorbance peak at 966 of SBS modifier is used to detect the SBS content. Compound Simpson formula is introduced to calculate the peak area. Then,according to Lambert-Beer's law,the standard curve of the relationship between peak area ratio and SBS content are obtained by least square method. Finally,modified asphalt with different SBS contents are prepared from 70# matrix asphalt of Liao He Petrochemical Company. The average error of calibration samples and test samples is 0. 14% and 0. 02% respectively. The results show that the proposed method has the advantages of fast speed,high precision and easy operation compared with the original methods such as GPC. It provides a scientific and effective method for timely detection of asphalt SBS content in road construction projects in the future.

Key words: styrene-butadiene-styrene ( SBS ) copolymer modifier, matrix asphalt, infrared spectroscopy, compound simpson formula, least square method

中图分类号: 

  • TP39