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基于红外光谱图特征峰分析的沥青指标 被引量:9

Asphalt index based on characteristic spectral analysis of infrared spectrum
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摘要 基于采用红外光谱图特征峰分析沥青指标是快速评价稠油沥青质量的研究热点,借助傅立叶红外光谱技术、分离分析等手段,对90#A级沥青和SBS改性沥青进行红外光谱测试分析.结果表明:沥青的红外光谱分析技术与常规沥青检测方法的相关性为99.6%;90#A级沥青在3 000~650 cm^(-1)出现9处较明显的特征峰,SBS改性沥青在2 950~650 cm^(-1)出现11处较明显的特征峰,每个特征峰均有对应的特征基团;同类沥青材料的特征基团一致,同类沥青材料的技术指标相同.通过对比分析沥青红外光谱图的特征峰,可以快速评判出沥青质量优劣,缩短了检测评价沥青材料指标的试验时间. It is hot research to evaluate the quality of heavy oil asphalt by infrared spectroscopy. By Fourier transform infrared spectroscopy (FTIR) and separation analysis,the 90# A grade asphalt and the SBS modified asphalt were investigated. The results show that the correlation between infrared spectrum analysis technology and conventional asphalt detection method is 99.6%. The 90#A asphalt has 9 obvious feature peaks from 3 000 cm^-1 to 650 cm^-1 ,and the SBS modified asphalt has 11 obvious feature peaks from 2 950 cm^-1 to 650 cm^-1 with corresponding characteristic group for each characteristic peak. The asphalt materials have the same characteristic group with the same technical indicators. By comparing and analyzing the characteristic peaks of asphalt infrared spectroscopy,the asphalt quality can be quickly judged,and the experimental time of testing and evaluating the index of asphalt material can be shor- tened.
作者 杨三强 颜立景 刘娜 闰明涛 YANG Sanqiang;YAN Lijing;LIU Na;RUN Mingtao(Architectural Engineering Institute,Hebei University,Baoding,Hebei 071002,China;Traffic and Logistics Engineering Institute,Xinjiang Agricultural University,Urumqi,Xinjiang 830052,China;Pharmaceutical Chemistry and Molecular Diagnostic of Key Laboratory of Ministry of Education,Hebei University,Baoding,Hebei 071002,China)
出处 《江苏大学学报(自然科学版)》 EI CAS 北大核心 2019年第2期244-248,共5页 Journal of Jiangsu University:Natural Science Edition
基金 河北省自然科学基金资助项目(E2018201106) 河北省高层次人才资助项目(B2017005024) 河北省教育厅科研计划重点项目(ZD2016073)
关键词 稠油沥青 沥青指标 沥青质量 红外光谱 特征峰 heavy oil asphalt asphalt indicator quality of asphalt infrared spectrum characteristic peak
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