兰州理工大学学报

兰州理工大学学报 ›› 2023, Vol. 49 ›› Issue (6): 119-128.

• 建筑科学 • 上一篇    下一篇

基于响应曲面法的大掺量RAP厂拌热再生沥青混合料级配优化设计

翟晓成1, 丁攀2, 雷雨涛3, 臧超杰3, 张富奎4, 李萍*3   

  1. 1.甘肃省兰州公路事业发展中心高速公路养护所, 甘肃 兰州 730030;
    2.甘肃省兰州公路事业发展中心, 甘肃 兰州 730030;
    3.兰州理工大学 土木工程学院, 甘肃 兰州 7300502;
    4.甘肃省畅陇公路养护技术研究院有限责任公司, 甘肃 兰州 730203
  • 收稿日期:2022-06-28 出版日期:2023-12-28 发布日期:2024-01-05
  • 通讯作者: 李萍(1972-),女,江苏靖江人,博士,教授.Email:lzlgliping@126.com
  • 基金资助:
    国家自然科学基金(52268070),甘肃省重点科技攻关项目(20YF3GA017)

Optimal design of gradation of high-volume RAP plant-mixed hot-recycled asphalt mixture based on response surface methodology

ZHAI Xiao-cheng1, DING Pan2, LEI Yu-tao3, ZANG Chao-jie3, ZHANG Fu-kui4, LI Ping3   

  1. 1. Highway Maintenance Institute, Lanzhou Highway Development Centre, Lanzhou 730030, China;
    2. Lanzhou Highway Development Centre, Lanzhou 730030;
    3. School of Civil Engineering, Lanzhou Univ. of Tech., Lanzhou 7300502, China;
    4. Gansu Changlong Highway Maintenance Technology Research Institute Co. Ltd., Lanzhou 730203, China
  • Received:2022-06-28 Online:2023-12-28 Published:2024-01-05

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摘要： 为避免对沥青混合料进行级配设计优化时采用经验法所选最优级配曲线不足,基于响应曲面法对级配类型AC-20大掺量(30%)RAP厂拌热再生沥青混合料进行级配优化设计,得到当集料19 mm筛孔通过率为97.2%、4.75 mm筛孔通过率为39.3%、0.075 mm筛孔通过率为6.0%、油石比为4.48%时,所得配合比为最优设计结果,最优条件下模型预测值为空隙率4.00%、间隙率为13.17%、饱和度为70%、稳定度为11.75 kN.试验证明:实测值与模型预测值之间相对误差较小(均不大于3%),说明建立的二阶模型拟合结果较好;响应曲面法可对沥青混合料配合比设计进行有效预测,并给出40%～70%RAP掺量的级配优化结果.

关键词: 热再生, 大掺量RAP, 响应曲面法, 级配优化设计

Abstract: In order to avoid insufficient selection of the optimal gradation curve using empirical methods when optimizing the gradation design of asphalt mixtures, the response surface method was used to optimize the gradation design of RAP plant mixed hot recycled asphalt mixtures with a large content (30%) of AC-20 gradation type. The optimal design result can be obtained when the 19 mm sieve pass rate of the aggregate was 97.2%, the 4.75 mm sieve pass rate was 39.3%, the 0.075mm sieve pass rate was 6.0%, and the oil stone ratio was 4.48%. Under optimal conditions, the predicted values of the model were void rate of 4.00%, void ratio of 13.17%, saturation of 70%, and stability of 11.75kN. The experiment shows that the relative error between the measured values and the predicted values of the model is small (both not more than 3%), indicating that the established second-order model has good fitting results. The response surface method can effectively predict the performance of asphalt mixture mix design and provide optimization results for the grading of 40% to 70% RAP content.

Key words: thermal regeneration, high RAP content, response surface method, gradation optimization design

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