基于红外光谱图特征峰分析的沥青指标
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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.
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.
引文
[ 1 ] 温珍才,孙通,许朋,等.可见/近红外联合变量优选检测油茶籽油掺假[J].江苏大学学报(自然科学版),2015,36(6):673-678.WEN Z C, SUN T, XU P, et al. Adulteration detection of camellia oils by Vis/NIR spectroscopy and variable selection method[J]. Journal of Jiangsu University (Natural Science Edition), 2015, 36(6):673-678.(in Chinese)
[ 2 ] 黄晓玮,邹小波,赵杰文,等.近红外光谱结合蚁群算法检测花茶花青素含量[J].江苏大学学报(自然科学版),2014, 35(2):165-170.HUANG X W, ZOU X B, ZHAO J W, et al. Measurement of anthocyanin content in flowering tea using near infrared spectroscopy combined with ant colony optimization[J]. Journal of Jiangsu University (Natural Science Edition), 2014, 35(2):165-170.(in Chinese)
[ 3 ] DIAS R, GARCIA N L, LUDWIG G, et al. Aggregated functional data model for near-infrared spectroscopy calibration and prediction[J]. Journal of Applied Statistics, 2015, 42(1):127-143.
[ 4 ] JUN X, JIANG J J. Research on the estimation model of soil moisture content based on the characteristics of thermal infrared data[J]. Asian Agricultural Research, 2013(2):86-90.
[ 5 ] 李炜光,段炎红,颜录科,等.利用石油沥青红外光谱图谱特征测定沥青的方法研究[J].石油沥青,2012, 26(4):9-14.LI W G, DUAN Y H, YAN L K, et al. Study on the method of determination of asphalt by infrared spectrum of petroleum asphalt[J]. Petroleum Asphalt, 2012, 26(4):9-14. (in Chinese)
[ 6 ] AMIN M N, KHAN M I, SALEEM M U. Performance evaluation of asphalt modified with municipal wastes for sustainable pavement construction[J]. Sustainability, 2016, 8(10):949.
[ 7 ] 张晓香.红外光谱仪快速测试沥青原理及可靠性检测[J].中国公路,2015(5):126-127.ZHANG X X. Rapid test of asphalt principle and reliability detection[J]. China Road, 2015(5):126-127.(in Chinese)
[ 8 ] JAMSHIDI A, HAMZAH M O, KURUMISAWA K, et al. Evaluation of sustainable technologies that upgrade the binder performance grade in asphalt pavement construction[J]. Materials and Design, 2016, 95:9-20.
[ 9 ] ZHU C Z, ZHANG H L, ZHANG D M, et al. Influence of base asphalt and SBS modifier on the weathering aging behaviors of SBS modified asphalt[J].Journal of Mate-rials in Civil Engineering,2018,30(3):1-10.
[10] 徐志荣,陈忠达,常艳婷,等.改性沥青SBS含量的红外光谱分析[J].长安大学学报(自然科学版), 2015, 35(2):7-12.XU Z R, CHEN Z D, CHANG Y T, et al. Infrared spectral analysis of SBS modified asphalt[J]. Journal of Chang′an University (Natural Science Edition), 2015, 35(2):7-12.(in Chinese)
[11] LIU Y, LI J,WU C H. Asphalt material aging mechanism and characteristics analysis based on infrared spectrum[J].Advanced Materials Research, 2013, 654: 1265-1268.
[ 2 ] 黄晓玮,邹小波,赵杰文,等.近红外光谱结合蚁群算法检测花茶花青素含量[J].江苏大学学报(自然科学版),2014, 35(2):165-170.HUANG X W, ZOU X B, ZHAO J W, et al. Measurement of anthocyanin content in flowering tea using near infrared spectroscopy combined with ant colony optimization[J]. Journal of Jiangsu University (Natural Science Edition), 2014, 35(2):165-170.(in Chinese)
[ 3 ] DIAS R, GARCIA N L, LUDWIG G, et al. Aggregated functional data model for near-infrared spectroscopy calibration and prediction[J]. Journal of Applied Statistics, 2015, 42(1):127-143.
[ 4 ] JUN X, JIANG J J. Research on the estimation model of soil moisture content based on the characteristics of thermal infrared data[J]. Asian Agricultural Research, 2013(2):86-90.
[ 5 ] 李炜光,段炎红,颜录科,等.利用石油沥青红外光谱图谱特征测定沥青的方法研究[J].石油沥青,2012, 26(4):9-14.LI W G, DUAN Y H, YAN L K, et al. Study on the method of determination of asphalt by infrared spectrum of petroleum asphalt[J]. Petroleum Asphalt, 2012, 26(4):9-14. (in Chinese)
[ 6 ] AMIN M N, KHAN M I, SALEEM M U. Performance evaluation of asphalt modified with municipal wastes for sustainable pavement construction[J]. Sustainability, 2016, 8(10):949.
[ 7 ] 张晓香.红外光谱仪快速测试沥青原理及可靠性检测[J].中国公路,2015(5):126-127.ZHANG X X. Rapid test of asphalt principle and reliability detection[J]. China Road, 2015(5):126-127.(in Chinese)
[ 8 ] JAMSHIDI A, HAMZAH M O, KURUMISAWA K, et al. Evaluation of sustainable technologies that upgrade the binder performance grade in asphalt pavement construction[J]. Materials and Design, 2016, 95:9-20.
[ 9 ] ZHU C Z, ZHANG H L, ZHANG D M, et al. Influence of base asphalt and SBS modifier on the weathering aging behaviors of SBS modified asphalt[J].Journal of Mate-rials in Civil Engineering,2018,30(3):1-10.
[10] 徐志荣,陈忠达,常艳婷,等.改性沥青SBS含量的红外光谱分析[J].长安大学学报(自然科学版), 2015, 35(2):7-12.XU Z R, CHEN Z D, CHANG Y T, et al. Infrared spectral analysis of SBS modified asphalt[J]. Journal of Chang′an University (Natural Science Edition), 2015, 35(2):7-12.(in Chinese)
[11] LIU Y, LI J,WU C H. Asphalt material aging mechanism and characteristics analysis based on infrared spectrum[J].Advanced Materials Research, 2013, 654: 1265-1268.