Li Wenhui, Hao Peiwen, Liu Guofeng, Li Zhigang, Le Chen, Wang Chun, Ma Wenduo, Li Shaohui
School of Highway, Chang'an University, Xi'an 710064, China.
Yunnan Ningyong Expressway Co., Ltd., Lijiang 674300, China.
Polymers (Basel). 2025 Apr 8;17(8):1000. doi: 10.3390/polym17081000.
To deeply analyze the difference between styrene-butadiene-styrene (SBS)-modified asphalt and base asphalt in ultraviolet (UV) aging performance, an atomic force microscope was used to carry out an accurate analysis of the bee structural characteristic parameters of two kinds of asphalt experiencing different UV aging time duration. With the advantages of the Levenberg-Marquardt (LM) algorithm and universal global optimization (UGO) algorithm, the relationship between the microscopic characteristic value and the performance index of asphalt under UV aging was constructed. The results show that the physical parameters of the bee structure of asphalt are closely related to the macroscopic properties of asphalt materials. Because the number of bee structures of SBS-modified asphalt is significantly more than that of base asphalt, and in the process of UV aging, the absolute height and area of the bee structure fluctuate less, and the adhesion force fluctuates with aging time. The decreasing trend makes SBS-modified asphalt significantly better than base asphalt in anti-UV aging performance. Under different UV aging time durations, the penetration and aging index (AI) of the two kinds of asphalt showed an excellent linear relationship with the microscopic indexes measured by atomic force microscope (AFM). Through the nonlinear optimization algorithm, the prediction equations of the morphology height and adhesion force of the two kinds of asphalt under different aging stages were successfully derived. The research results can provide theoretical support for the optimization and improvement of the UV aging performance of SBS-modified asphalt.
为深入分析苯乙烯-丁二烯-苯乙烯（SBS）改性沥青与基质沥青在紫外线（UV）老化性能方面的差异，采用原子力显微镜对经历不同UV老化时长的两种沥青的蜂状结构特征参数进行精确分析。利用列文伯格-马夸尔特（LM）算法和通用全局优化（UGO）算法的优势，构建了UV老化条件下沥青微观特征值与性能指标之间的关系。结果表明，沥青蜂状结构的物理参数与沥青材料的宏观性能密切相关。由于SBS改性沥青的蜂状结构数量明显多于基质沥青，且在UV老化过程中，蜂状结构的绝对高度和面积波动较小，粘附力随老化时间波动，下降趋势使得SBS改性沥青在抗UV老化性能方面明显优于基质沥青。在不同的UV老化时长下，两种沥青的针入度和老化指数（AI）与原子力显微镜（AFM）测量的微观指标呈现出良好的线性关系。通过非线性优化算法，成功推导了两种沥青在不同老化阶段的形貌高度和粘附力的预测方程。研究结果可为SBS改性沥青UV老化性能的优化和改进提供理论支持。
