中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2023, Vol. 42 ›› Issue (3): 59-64.DOI: 10.3969/j.issn.1674-0696.2023.03.08

• 交通+大数据人工智能 • 上一篇    

STAC沥青储存稳定性影响因素研究

缑永涛1,许磊2,孔令云3   

  1. (1. 宁夏交投高速公路管理有限公司,宁夏 银川 750001;2. 仁寿县交通运输局,四川 眉山 620599; 3. 重庆交通大学 土木工程学院,重庆 400074)
  • 收稿日期:2022-04-25 修回日期:2022-09-13 发布日期:2023-05-11
  • 作者简介:缑永涛(1977—),男,宁夏平罗人,高级工程师,主要从事道路工程方面的工作。E-mail:7060001@qq.com 通信作者:孔令云(1976—),女,江苏如皋人,教授,博士,主要从事道路建材方面的研究。E-mail:43112443@qq.com
  • 基金资助:
    国家自然科学基金项目(51508062)

Factors Affecting the Storage Stability of STAC Asphalt

GOU Yongtao1, XU Lei2, KONG Lingyun3   

  1. (1. Ningxia Jiaotou Expressway Management Co., Ltd., Yinchuan 750001, Ningxia, China; 2. Transportation Bureau of Renshou County, Meishan 620599, Sichuan, China; 3. College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China)
  • Received:2022-04-25 Revised:2022-09-13 Published:2023-05-11

摘要: 为研究阳离子乳化沥青储存稳定性的影响因素,并建立各因素与稳定性之间定量关系模型,选用十八烷基三甲基氯化铵(STAC)作为阳离子乳化剂制备阳离子乳化沥青,分析了不同因素对储存稳定性的影响。试验结果表明:当乳化剂用量为3.2%、沥青温度125 ℃、油水比5∶5、皂液温度55 ℃、皂液pH值=3时,制备的STAC沥青储存稳定性较好;采用灰色关联度分析,得到了各影响因素对系统的影响程度,发现在乳化剂用量优选条件下,沥青温度、油水比和皂液温度对乳化沥青储存稳定性影响较大;基于BP神经网络建立了影响STAC沥青储存稳定性因素与稳定性的关系模型,该模型具有较高的预测精度,可为该类型乳化沥青生产条件的确定提供指导。

关键词: 道路工程;乳化沥青;储存稳定性;灰色关联度;BP神经网络

Abstract: In order to study the factors affecting the storage stability of cationic emulsified asphalt and establish the quantitative relationship model between each factor and stability, octadecy trimethy ammonium chloride (STAC) was selected as cationic emulsifier to prepare cationic emulsified asphalt. The storage stability was used as the index to analyze the influence of different factors on the performance of emulsified asphalt. The test results show that the cationic emulsified asphalt has good storage stability when the amount of emulsifier is 3.2%, the asphalt temperature is 125 ℃, the oil-water ratio is 5∶5, the soap temperature is 55 ℃, and the pH value of soap is 3. The influence degree of each factor on the system was obtained by grey relation analysis. It was found that asphalt temperature, oil-water ratio and soap temperature had a great influence on the storage stability of emulsified asphalt under the optimal condition of emulsifier dosage. The relationship model of storage stability factors and stability of STAC emulsified asphalt was established based on BP neural network. The model has high prediction accuracy, which can provide guidance for the determination of production conditions of this kind of emulsified asphalt.

Key words: highway engineering; emulsified asphalt; storage stability; grey relation; BP neural network

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