脲醛树脂微胶囊对SBS改性沥青流变特性与自修复效率的影响

Effect of urea-formaldehyde resin microcapsules on the rheological properties and self-healing efficiency of SBS modified asphalt

  • 摘要: 微胶囊技术可增强沥青路面抗老化能力及自修复效率。采用高速剪切法制备脲醛树脂(UF)微胶囊/SBS改性沥青,分析不同老化程度下UF微胶囊掺量对SBS改性沥青粘度、疲劳因子、车辙因子、劲度模量、蠕变速率等参数的影响。运用动态剪切流变仪(DSR)的疲劳-愈合-疲劳(FHF)加载模式,量化UF微胶囊/SBS改性沥青的自修复指数。采用灰色关联分析法,分析UF微胶囊/SBS改性沥青的三大指标、流变性能与自修复效率的关联度。结果表明:压力老化(PAV)后的UF微胶囊破裂释放再生剂,可改善SBS改性沥青的流变性能;在−24℃低温条件下,UF微胶囊/SBS改性沥青不满足低温流变性能要求。不同UF微胶囊掺量对SBS改性沥青自修复指数影响显著,3wt%掺量时其自修复指数最大。基于聚合物自愈理论,以修复温度、修复时间和微胶囊掺量为参数,建立UF微胶囊/SBS改性沥青自修复效率预测模型。通过K-means聚类分析,筛选出蠕变速率、延度、针入度、软化点为自变量,建立UF微胶囊/SBS改性沥青自修复效率的线性关联模型,为微胶囊在沥青路面智能养护中的应用与发展提供参考。

     

    Abstract: Microcapsule technology can enhance the anti-aging ability and self-healing efficiency of asphalt pavement. The urea-formaldehyde resin (UF) microcapsules/SBS modified asphalt was prepared by a high-speed shearing method, and the effects of UF microcapsule content on parameters such as viscosity, fatigue factor, rutting factor, stiffness modulus and creep rate of SBS modified asphalt were analyzed under different aging degrees. The fatigue-healing-fatigue (FHF) loading mode of a dynamic shear rheometer (DSR) was used to quantify the self-healing index of UF microcapsule/SBS modified asphalt. Grey correlation analysis was adopted to analyze the correlation degree between the three major indexes, rheological properties and self-healing efficiency of UF microcapsule/SBS modified asphalt. The results show that the rupture of UF microcapsules after pressure aging vessel (PAV) releases rejuvenator, which improves the rheological properties of SBS modified asphalt, but the UF microcapsule/SBS modified asphalt does not meet the specification requirements at −24℃. The effects of different UF microcapsule dosages on the self-healing index of SBS modified asphalt are significant, and the self-healing index is the highest at a microcapsule dosage of 3wt%. Based on the polymer self-healing theory, a prediction model of the self-healing efficiency of UF microcapsule/SBS modified asphalt is established with healing temperature, healing time, and microcapsule content as parameters. Through K-means clustering analysis, creep rate, ductility, penetration, and softening point are identified as independent variables, and a linear correlation model for the self-healing efficiency of UF microcapsules/SBS-modified asphalt is established, providing references for the application and development of microcapsules in intelligent maintenance of asphalt pavements.

     

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