本文選題：衰減全反射紅外光譜 + 蠟含量　； 參考：《北京化工大學(xué)》2015年碩士論文

【摘要】：瀝青是高速公路的基本建筑材料,其質(zhì)量的優(yōu)劣直接影響著其路用性能和公路壽命。一般道路設(shè)計壽命為15年,而劣質(zhì)或摻假瀝青產(chǎn)品會導(dǎo)致路面2年后就進(jìn)入維護(hù)期,給高速公路建設(shè)和維護(hù)帶來巨大經(jīng)濟(jì)損失。因此,道路瀝青生產(chǎn)、流通和道路施工等過程中瀝青產(chǎn)品質(zhì)量的有效監(jiān)控至關(guān)重要。蠟含量、軟化點、針入度和SBS改性瀝青中SBS含量是瀝青重要的工程質(zhì)量指標(biāo)。其現(xiàn)行的標(biāo)準(zhǔn)方法分析過程繁冗耗時,無法滿足實際過程中瀝青質(zhì)量檢測與監(jiān)管需求。目前也缺乏快速的瀝青產(chǎn)品溯源方法。因此研究建立上述瀝青質(zhì)量指標(biāo)的快速分析技術(shù)和產(chǎn)品溯源方法已經(jīng)成為該領(lǐng)域中亟待解決的重大課題。分子光譜結(jié)合化學(xué)計量學(xué),具有分析快速和測量方便等優(yōu)點。本課題旨在運用傅里葉變換紅外光譜和化學(xué)計量學(xué),建立瀝青重要質(zhì)量指標(biāo)和油源產(chǎn)地識別快速分析方法。首先,本文提出了一種利用衰減全反射傅里葉紅外光譜技術(shù)(FTIR-ATR)實現(xiàn)瀝青性質(zhì)快速準(zhǔn)確檢測的方法。實驗共收集了不同公司、不同時間生產(chǎn)的瀝青樣品220個,其蠟含量、軟化點和針入度標(biāo)準(zhǔn)值己依照標(biāo)準(zhǔn)方法SH/T 0425-2003、GB/T 4507-2014、GB/T4509-2010測定。研究了瀝青取樣、光譜內(nèi)部掃描次數(shù)和重復(fù)裝樣次數(shù)對瀝青光譜測量精度的影響,確定了最佳光譜采集條件。分別采用相關(guān)系數(shù)法和CARS選擇波長變量,采用偏最小二乘法(PLS)建立了蠟含量、軟化點和針入度的紅外光譜定量模型,交互驗證標(biāo)準(zhǔn)誤差(SECV)分別為0.13、0.88、2.84,預(yù)測標(biāo)準(zhǔn)偏差(SEP)分別為0.14、1.06、3.02,均不大于標(biāo)準(zhǔn)方法的再現(xiàn)性誤差。使用該方法對任意選取不同廠家所生產(chǎn)的3個樣品進(jìn)行重復(fù)性測試,精密度不大于標(biāo)準(zhǔn)方法的精密度誤差。其次,本文提出了一種利用衰減全反射傅里葉紅外光譜技術(shù)(FTIR-ATR)實現(xiàn)瀝青油源產(chǎn)地快速準(zhǔn)確判別的方法。實驗共收集了220個包括南美重油、西北局原油、歡喜嶺原油和新疆稠油四個不同油源產(chǎn)地的瀝青樣品。利用PCA和SIMCA方法對瀝青油源產(chǎn)地進(jìn)行判別,PCA模型有效的識別了以歡喜嶺原油和新疆稠油為油源的瀝青樣品油源信息,無法區(qū)分以南美重油和西北局原油為油源的瀝青樣品油源信息。SIMCA方法在PCA方法的基礎(chǔ)上實現(xiàn)了以南美重油和西北局原油為油源的瀝青樣品的油源信息判別,實現(xiàn)了不同油源產(chǎn)地瀝青樣品100%的識別率。最后,本文制備了SBS含量為4.0%-6.0%一系列濃度梯度的SBS改性瀝青樣品,通過多元曲線分辨交替最小二乘結(jié)合斜投影建立標(biāo)準(zhǔn)曲線,其預(yù)測結(jié)果的標(biāo)準(zhǔn)偏差為0.096,能夠?qū)崿F(xiàn)改性瀝青的質(zhì)量控制。
[Abstract]:Asphalt is the basic building material of highway, its quality directly affects its road performance and highway life. The general road design life is 15 years, but inferior or adulterated asphalt products will lead to pavement maintenance period after 2 years, which will bring huge economic loss to highway construction and maintenance. Therefore, it is very important to monitor the quality of asphalt products in the process of road asphalt production, circulation and road construction. Wax content, softening point, penetration degree and SBS content in SBS modified asphalt are important engineering quality indexes. The present standard method is time-consuming and time-consuming, and can not meet the requirements of asphalt quality inspection and supervision in the actual process. There is also a lack of rapid traceability of asphalt products. Therefore, it has become an important task to establish the rapid analysis technology and product traceability method of asphalt quality index mentioned above. Molecular spectrum combined with chemometrics has the advantages of fast analysis and convenient measurement. The purpose of this paper is to establish a fast analysis method for asphalt quality index and oil source identification by Fourier transform infrared spectroscopy and chemometrics. Firstly, a method of fast and accurate detection of asphalt properties using attenuated total reflectance Fourier transform infrared spectroscopy (FTIR-ATR) is proposed. A total of 220 asphalt samples were collected from different companies and at different times. Their wax content, softening point and penetration were determined according to the standard method SHP T 0425-2003 GB / T 4507-2014 GB / T 4509-2010. The effects of bitumen sampling, spectral internal scanning times and repeated sample loading times on the accuracy of asphalt spectral measurement were studied, and the optimum spectral acquisition conditions were determined. The infrared spectral quantitative models of wax content, softening point and penetration were established by means of correlation coefficient method and car selection wavelength variable, and partial least square method (PLS). The cross validation standard error (SECV) is 0.13 / 0.88 / 2.84, and the prediction standard deviation (SEP) is 0.14 / 1.06 / 3.02, respectively, which is less than the reproducibility error of the standard method. This method is used to test the repeatability of 3 samples produced by different manufacturers. The precision is less than the precision error of the standard method. Secondly, a fast and accurate method for determining the origin of asphalt oil source by using the attenuated total reflectance Fourier transform infrared spectroscopy (FTIR-ATR) is proposed. A total of 220 bitumen samples from four different oil sources including South American heavy oil, Northwest Bureau crude oil, Huanxiling crude oil and Xinjiang heavy oil were collected. The PCA and Simca methods were used to identify the oil source information of asphalt samples from Huanxiling crude oil and Xinjiang heavy oil. Based on PCA method, the oil source information of bitumen samples with South American heavy oil and Northwest Bureau crude oil as oil source can not be distinguished by SIMCA method, and the oil source information of asphalt samples with South American heavy oil and Northwest Bureau crude oil as oil source can be distinguished by PCA method. The recognition rate of bitumen samples from different oil sources was 100%. Finally, a series of SBS modified asphalt samples with a concentration gradient of 4.0% -6.0% were prepared, and the standard curves were established by multivariate curve resolution alternating least squares and oblique projection. The standard deviation of the predicted result is 0.096, which can realize the quality control of modified asphalt.
【學(xué)位授予單位】：北京化工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U414;O657.33

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本文編號：2043076