中文核心期刊
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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）

重庆交通大学学报（自然科学版） ›› 2023, Vol. 42 ›› Issue (6): 40-46.DOI: 10.3969/j.issn.1674-0696.2023.06.06

• 交通+大数据人工智能 • 上一篇    

基于胎路动态摩擦行为的沥青路面抗滑性能预估模型研究

余苗1,2，张强1，石林3，唐欧迪1   

  1. (1. 重庆交通大学 土木工程学院，重庆 400074；2. 重庆交通大学 交通土建工程材料国家地方联合工程实验室， 重庆 400074；3. 长安大学 公路学院，陕西 西安 710064)
  • 收稿日期:2021-08-02 修回日期:2022-03-01 发布日期:2023-08-01
  • 作者简介:余苗 (1982—)，女，陕西汉中人，教授，博士，主要从事路面抗滑方面的研究。E-mail:yumiaoym@126.com
  • 基金资助:
    国家自然科学基金项目（51608085）；中国博士后科研项目资助（2018M633444）；陕西省博士后科研项目（2018BSHEDZZ123）；长安大学中央高校基本科研道路结构与材料交通运输行业重点实验室业务费专项资金资助项目(300102210506)；广东省交通科技创新平台研究项目（2018B020207003）；重庆市研究生科研创新项目（CYS21348）；重庆市自然科学基金面上项目（cstc2021jcyj-msxmX0554）

Prediction Model of Skid Resistance of Asphalt Pavement Based on Dynamic Friction Behavior of Tire/Road

YU Miao1,2, ZHANG Qiang1, SHI Lin3, TANG Oudi1   

  1. (1. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. National and Local Joint Engineering Laboratory for Transportation Civil Engineering Materials, Chongqing Jiaotong University, Chongqing 400074, China; 3. School of Highway, Changan University, Xian 710064, Shaanxi, China)
  • Received:2021-08-02 Revised:2022-03-01 Published:2023-08-01

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摘要： 为探究路面纹理（宏观纹理、微观纹理）、荷载、速度、滑移率、胎压对沥青路面摩擦系数的影响规律，利用自主研发的轮胎-路面动态摩擦测试系统对成型的9种车辙试件进行动态摩擦试验。结果显示，宏观纹理对沥青路面摩擦系数的影响极其显著，速度、微观纹理、荷载次之，胎压的影响并不显著。其中，宏观纹理作为影响摩擦系数的主要因素，影响着胎路的接触面积和应力集中度，纹理丰富度增加，摩擦系数增大；摩擦系数在初期随滑移率的增大而增大，随后趋于稳定；相反，摩擦系数随速度的增大而变小；胎压对胎路接触时摩擦系数的贡献较小。最后结合BP神经网络建立沥青路面摩擦系数预估模型。

关键词: 道路工程；沥青路面；抗滑性能；动态摩擦；预估模型

Abstract: In order to explore the influence rules of pavement texture (macro texture, micro texture), load, speed, slip rate and tire pressure on the friction coefficients of asphalt pavement, the self-developed tire-pavement dynamical friction test system was used to conduct dynamical friction tests on 9 types of rut specimens. The results show that the influence of macro texture on friction coefficient of asphalt pavement is very significant, followed by speed, micro texture and load, and the influence of tire pressure is not significant. Among them, the macro texture is the main factor affecting the friction coefficient, which affects the contact area and stress concentration of tire and road, and the friction coefficient increases with the increase of texture richness. The friction coefficient increases with the increase of slip rate at the initial stage and then tends to be stable. On the contrary, the friction coefficient decreases with the increase of velocity. However, the contribution of tire pressure to the friction coefficient is relatively small. Finally, the prediction model of friction coefficient of asphalt pavement is established combined with BP neural network.

Key words: highway engineering; asphalt pavement; skid resistance; dynamic friction; prediction model

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