<p>The bonding performance between healing materials and natural rock plays a critical role in the mechanical stability of sandstone cultural relics. This study investigates the interfacial microstructure and bonding behavior of microbially induced magnesia carbonation (MIMC) applied to sandstone. High-resolution micro-CT imaging reveals the presence of a previously unreported porous transition zone (PTZ) at the MIMC-sandstone interface, characterized by elevated porosity (~ 3%) and enlarged pore sizes (~ 298&#xa0;μm) relative to the bulk MIMC material. Localized splitting tests indicate that this PTZ governs the initiation of interfacial failure. Based on the quantified pore structure, a microstructure-informed predictive model was developed that incorporates both porosity and pore size, demonstrating strong correlation (<i>R</i><sup>2</sup> = 0.86) with the measured bonding strength. The proposed framework provides new mechanistic insights into biomineralized interface behavior and offers a robust tool for evaluating and optimizing MIMC-based rock-healing applications.</p>

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A Microbially Induced Magnesia Carbonation (MIMC) Method with Potential Application for Crack Healing of Sandstone Cultural Relics: A Predictive Model for Interfacial Bonding Strength

  • Zhi-Hao Dong,
  • Xiao-Hua Pan,
  • Chao-Sheng Tang,
  • Qi-Chen Dai,
  • Bin Shi

摘要

The bonding performance between healing materials and natural rock plays a critical role in the mechanical stability of sandstone cultural relics. This study investigates the interfacial microstructure and bonding behavior of microbially induced magnesia carbonation (MIMC) applied to sandstone. High-resolution micro-CT imaging reveals the presence of a previously unreported porous transition zone (PTZ) at the MIMC-sandstone interface, characterized by elevated porosity (~ 3%) and enlarged pore sizes (~ 298 μm) relative to the bulk MIMC material. Localized splitting tests indicate that this PTZ governs the initiation of interfacial failure. Based on the quantified pore structure, a microstructure-informed predictive model was developed that incorporates both porosity and pore size, demonstrating strong correlation (R2 = 0.86) with the measured bonding strength. The proposed framework provides new mechanistic insights into biomineralized interface behavior and offers a robust tool for evaluating and optimizing MIMC-based rock-healing applications.