Volume 23 Issue 2
Apr.  2023
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2023  >  23(2): 78-91
HE Liang, ZHOU Zi-dong, VAN DEN BERGH Wim, BALIEU Romain, CANNONE FALCHETTO Augusto, ZHU Ji-qing, ALEXIADIS Alessio, KOWALSKI Karol, VALENTIN Jan, CAI Hao-dong, LI Hou-jun, QIAO Ya-ning. Discrete element simulation of porous asphalt mixture clogging law[J]. Journal of Traffic and Transportation Engineering, 2023, 23(2): 78-91. doi: 10.19818/j.cnki.1671-1637.2023.02.005
Citation: HE Liang, ZHOU Zi-dong, VAN DEN BERGH Wim, BALIEU Romain, CANNONE FALCHETTO Augusto, ZHU Ji-qing, ALEXIADIS Alessio, KOWALSKI Karol, VALENTIN Jan, CAI Hao-dong, LI Hou-jun, QIAO Ya-ning. Discrete element simulation of porous asphalt mixture clogging law[J]. Journal of Traffic and Transportation Engineering, 2023, 23(2): 78-91. doi: 10.19818/j.cnki.1671-1637.2023.02.005
shu

Discrete element simulation of porous asphalt mixture clogging law

doi: 10.19818/j.cnki.1671-1637.2023.02.005
  • 1.

    National and Local Joint Engineering Research Centre of Transportation and Civil Engineering Materials, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    Faculty of Applied Engineering, University of Antwerp, Antwerp 2000, Belgium

  • 3.

    Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm 114 28, Sweden

  • 4.

    Department of Civil Engineering, Aalto University, Helsinki 02150, South Finland, Finland

  • 5.

    Swedish National Road and Transport Research Institute, Linköping 581 95, Östergötland, Sweden

  • 6.

    School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, Alabama, United Kingdom

  • 7.

    Faculty of Civil Engineering, Warsaw University of Technology, Warsaw 00-637, Marzovshe, Poland

  • 8.

    Faculty of Civil Engineering, Czech Technical University in Prague, Prague 16629, Czech

Funds:

National Natural Science Foundation of China 52278440

National Natural Science Foundation of China 52111530134

China-CEEC Higher Education Institutions Joint Educational Program 2021090

Chongqing Graduate Research Innovation Project CYS21340

Natural Science Foundation of Chongqing cstc2020jcyj-msxmX0431

Open Fund of National and Local Joint Engineering Research Centre of Transportation and Civil Engineering Materials LHSYS-2021-003

More Information
  • Author Bio:

    HE Liang(1983-), male, professor, PhD, heliangf1@163.com

  • Received Date: 2022-12-02
    Available Online: 2023-05-09
  • Publish Date: 2023-04-25
    Abstract
  • To reveal the pore clogging law of porous asphalt mixture, the combination study of model experiment and simulation of porous asphalt mixture clogging was conducted. The pore characteristics of the porous asphalt mixture were analyzed based on the CT-scanning and discrete element software PFC3D V5.0, and the pore data of the porous asphalt mixture were obtained. The aggregates of different particle sizes were put into PFC3D V5.0, and the compacted virtual specimens were generated according to the pore characteristics. The accuracy of the model was verified by comparing the pore images of actual specimens with the MATLAB slices. In the self-weight condition, the simulation was set with the porous asphalt mixture specimen being intruded by clogging particles with specific gradation composition. The data of indoor experiments were compared and verified. The particle sizes of clogging particles were changed, and the pore decay rates of the specimen were analyzed. The clogging-sensitive particles were identified. In the self-weight condition, the fluid simulation experiment was introduced, and the change law of specimen clogging was analyzed by changing the seepage rate of fluid. Analysis results show that the virtual specimen generated by PFC3D V5.0 has high accuracy, and the simulation reveals the clogging law of the specimen. The small particles not only accumulate at the throat position causing clogging, but also congregate and interlock with the particles of larger sizes resulting in clogging too. In the self-weight condition, the clogging is mainly concentrated at the upper 30 mm of the mixture specimen, and the size distribution of corresponding clogging-sensitive particles is 0.150-0.600 mm. The size distribution of clogging particles has a great impact on the clogging results. In the conditions of gravity and fluid, with the seepage rate increasing from 0.005 m·s-1 to 0.030 m·s-1, the changing rate of pore decay rate increases. In addition, the clogging particles remaining in the mixture decrease, accompanied by the reduction of the pore decay rate. Therefore, the local rainfall conditions should also be considered in the design and maintenance of drainage asphalt pavement.

     

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