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<p>Voids are closely related to the compaction state and macroscopic properties of asphalt mixtures. This research employed progressive gyratory compaction and X-ray computed tomography (CT) scanning to obtain meso-structural images of asphalt mixtures under different compaction states. By utilizing digital image processing and Three-Dimensional (3D) reconstruction, Pore Network Model (PNM) and topological skeleton of voids were constructed. Quantitative indicators for the size, morphology, and distribution characteristics of various void types were proposed. A thorough analysis was conducted on the void transformation pathways and spatial distribution behaviors under different compaction states. The results revealed that during compaction, both AC-13 and SMA-13 exhibit a transformation sequence from connected voids to semi-connected voids and subsequently to isolated voids, while OGFC-13 maintains a void connectivity rate consistently above 99%. Compaction simplifies and linearizes the connected void network in AC-13 and SMA-13, whereas OGFC-13 retains relatively high network complexity. When the compaction degree reached 96%, the meso-structure of AC-13 and SMA-13 achieved reliable stability. Furthermore, compaction facilitates a more uniform distribution of isolated voids, particularly in SMA-13. These findings offered theoretical references for the design and compaction control of asphalt mixtures.</p>

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Research on void transformation behavior of asphalt mixture based on pore network model and skeletonization

  • 期刊论文

  • 发表日期：

    2025年9月11日

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  • Cheng Zhong,
  • Xiangbing Gong,
  • Guoping Qian,
  • Jiao Jin,
  • Cai Jun,
  • Jinguo Ge,
  • Jintao Ma

摘要

Voids are closely related to the compaction state and macroscopic properties of asphalt mixtures. This research employed progressive gyratory compaction and X-ray computed tomography (CT) scanning to obtain meso-structural images of asphalt mixtures under different compaction states. By utilizing digital image processing and Three-Dimensional (3D) reconstruction, Pore Network Model (PNM) and topological skeleton of voids were constructed. Quantitative indicators for the size, morphology, and distribution characteristics of various void types were proposed. A thorough analysis was conducted on the void transformation pathways and spatial distribution behaviors under different compaction states. The results revealed that during compaction, both AC-13 and SMA-13 exhibit a transformation sequence from connected voids to semi-connected voids and subsequently to isolated voids, while OGFC-13 maintains a void connectivity rate consistently above 99%. Compaction simplifies and linearizes the connected void network in AC-13 and SMA-13, whereas OGFC-13 retains relatively high network complexity. When the compaction degree reached 96%, the meso-structure of AC-13 and SMA-13 achieved reliable stability. Furthermore, compaction facilitates a more uniform distribution of isolated voids, particularly in SMA-13. These findings offered theoretical references for the design and compaction control of asphalt mixtures.