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<p>Fog seal is an effective preventive maintenance technique that fills micro-cracks and partially restores the crack resistance of asphalt pavement. However, insufficient research has been conducted to quantify the restorative effect of fog seals on pre-cracked asphalt mixtures, thereby hindering an accurate evaluation of their engineering performance. This study developed a Digital Image Correlation (DIC) method to quantitatively assess the crack resistance recovery of asphalt mixtures treated with fog seals. Two types of asphalt mixtures (AC-13 and SMA-13) were&#xa0;pre-cracked&#xa0;using the Indirect Tensile (IDT) test and then treated with nine fog seal formulations. DIC technology was employed to capture strain fields and characteristic parameter maps, allowing the crack distribution parameter (SR) to be derived for identifying crack propagation modes. To isolate the effect of fog seal from self-healing, an untreated control group was used for baseline correction. Results showed that AC-13 exhibited more dispersed cracking than SMA-13 under the controlled crack width. The crack resistance recovery and self-healing property were negatively correlated with&#xa0;SR. Among nine fog seal formulations, the composite-modified formulation with 3% SBR and 8% WER yielded the highest improvement in the crack resistance. This DIC-based method provides a quantifiable basis for optimizing fog seal formulations and guiding practical pavement maintenance strategies.</p>

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Assessing fog seal treatments for mitigating cracks in asphalt mixtures using the indirect tensile test and digital image correlation

  • 期刊论文

  • 发表日期：

    2026年4月24日

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  • Zhiqiang Shu,
  • Tianhao Qi,
  • Tingyu Li,
  • Yu Yan,
  • Danjun Duan,
  • Qiang Pei,
  • Bin Lu

摘要

Fog seal is an effective preventive maintenance technique that fills micro-cracks and partially restores the crack resistance of asphalt pavement. However, insufficient research has been conducted to quantify the restorative effect of fog seals on pre-cracked asphalt mixtures, thereby hindering an accurate evaluation of their engineering performance. This study developed a Digital Image Correlation (DIC) method to quantitatively assess the crack resistance recovery of asphalt mixtures treated with fog seals. Two types of asphalt mixtures (AC-13 and SMA-13) were pre-cracked using the Indirect Tensile (IDT) test and then treated with nine fog seal formulations. DIC technology was employed to capture strain fields and characteristic parameter maps, allowing the crack distribution parameter (SR) to be derived for identifying crack propagation modes. To isolate the effect of fog seal from self-healing, an untreated control group was used for baseline correction. Results showed that AC-13 exhibited more dispersed cracking than SMA-13 under the controlled crack width. The crack resistance recovery and self-healing property were negatively correlated with SR. Among nine fog seal formulations, the composite-modified formulation with 3% SBR and 8% WER yielded the highest improvement in the crack resistance. This DIC-based method provides a quantifiable basis for optimizing fog seal formulations and guiding practical pavement maintenance strategies.