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Discrete element simulation of porous asphalt mixture clogging law
Chongqing Jiaotong University, China.
Chongqing Jiaotong University, China.
Faculty of Applied Engineering, University of Antwerp, Belgium.
Department of Civil and Architectural Engineering, KTH, Sweden.ORCID iD: 0000-0001-7333-1140
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2023 (English)In: Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, ISSN 1671-1637, Vol. 23, no 2, p. 78-91Article in journal (Refereed) Published
Abstract [en]

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. 2 tabs, 20 figs, 30 refs. © 2023 Chang'an University. All rights reserved.

Place, publisher, year, edition, pages
Chang'an University , 2023. Vol. 23, no 2, p. 78-91
Keywords [en]
clogging-sensitive particle, discrete element simulation, pavement engineering, pore characteristic, pore clogging, porous asphalt mixture, Asphalt mixtures, Computerized tomography, MATLAB, Particle size, Particle size analysis, Seepage, Condition, Decay rate, Discrete-element simulations, Pore characteristics, Porous asphalt mixtures, Seepage rate, Self-weight, Size distribution
National Category
Infrastructure Engineering Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:vti:diva-19769Scopus ID: 2-s2.0-85160652937OAI: oai:DiVA.org:vti-19769DiVA, id: diva2:1766885
Available from: 2023-06-13 Created: 2023-06-13 Last updated: 2025-09-11Bibliographically approved

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Zhu, Jiqing

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