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April 30, 2026Fractal and Fractional0 citationsOpen Access

Application of Fractal Dimension for Pore Structure Evolution in Graphene Oxide-Modified Silica Fume Cementitious Composites

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CLChenggong LuYPYing PengCWCao Wan-zhi

Key Points

  • To investigate the effect of graphene oxide on the pore structure and strength of silica fume cement composites.
  • Utilized fractal dimension to analyze pore network structure
  • Compared mechanical properties of composites with and without graphene oxide
  • Examined hydration dynamics and their effects on gel formation
  • Graphene oxide mitigates early strength loss due to silica fume
  • Higher fractal dimension correlates with increased compressive strength
  • Optimal pore structure achieved with modified mixture enhances overall performance

Abstract

Silica fume (SF) is a valuable industrial by-product for low-carbon cementitious systems, but it weakens early-age strength due to slow pozzolanic activation. To overcome this limitation and, crucially, to elucidate the influence of pore system geometry on macroscopic performance, graphene oxide (GO) was introduced as a modifying agent. Concurrently, the fractal dimension (D) of the pore network was adopted as a pivotal descriptor linking microstructure to macroscopic strength. Results show that GO compensates for the early strength loss caused by SF and further amplifies long-term gains by accelerating hydration and promoting gel continuity. SF reduces total porosity through filler and pozzolanic reactions, while GO dramatically increases geometric complexity of pores, producing the highest fractal dimension and the most refined pore structure in the matrix. Critically, the proposed log–log interaction model demonstrates that compressive strength is jointly controlled by porosity and fractal dimension, rather than porosity alone. Higher fractal dimension intensifies strength gains in low-porosity matrices by reflecting improved pore connectivity control and energy-dissipation pathways. This establishes fractal dimension as a powerful, mechanistically interpretable index for predicting performance and guiding structural design in SF–GO modified cementitious composites.

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Cite This Study

Lu et al. (2026) studied this question.

synapsesocial.com/papers/69f2a4da8c0f03fd67763f72https://doi.org/10.3390/fractalfract10050294
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