北海道大学 · 工学
北見寿文教授の研究室では、セメント代替材料としてのアルカリ活性化材料（AAM）の力学的・物理的特性の解明に注力しています。特に、乾燥収縮や施工性、輸送特性といった長期的安定性に影響を与える要因の定量的評価を、多数の実験データを統合した機械学習モデルを用いて行っています。また、放射性ごみ処分施設に用いられるセメント材料の長期間にわたる耐久性や、塩化物イオンの浸透挙動についても、劣化挙動と微細構造の関係を電気インピーダンス法を活用して分析しています。
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Alkali-activated materials (AAMs) are qualitatively and quantitatively evaluated with an emphasis on the ultimate drying shrinkage. We systematically evaluated AAMs based on the mix design and curing conditions, utilizing a total of 452 AAM mixtures extracted from 44 papers. Finally, a predictive model for the ultimate drying shrinkage of AAMs was constructed using an artificial neural network (ANN) with high accuracy, in which the reactivity of binder, geopolymer paste volume, liquid-to-binder
Alkali-activated materials (AAMs) have been extensively studied for their superior performance and eco-friendliness. While previous researches have primarily focused on the hardened properties of AAMs, the assessment of their fresh properties has often been overlooked. The preparation process of AAMs involves key factors in mix design that significantly impact their workability. This study comprehensively evaluates the workability of different types of AAMs, analyzing a total of 402 mixtures ext
The transport properties of hardened cement paste (HCP) have been investigated in many studies; the AC impedance method (ACI) is a non-destructive technique employed for this purpose and has been used in investigations of the elec-trical characteristic and mass transport properties of HCP. However, there are relatively fewer studies investigating chloride ingress in HCP and using the ACI. In this study, the relationship between the electrical conductivity measured by the ACI and chloride ingress
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