ArticleMaterials (Basel, Switzerland)2026
Identification of Strength-Development Pathways in One-Part Geopolymers Using ESI-MSI-LGP Indices and GMM Clustering.
Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Geopolymer research has usually focused on predicting compressive strength at specific curing ages, while the underlying strength-development behavior remains insufficiently understood. To address this gap, this study proposes a pathway-oriented framework for characterizing strength-development patterns in one-part geopolymers (OPGs). A compiled experimental database was established from published studies, and three dimensionless indices, namely the Early Strength Index (ESI), Mid-age Strength Index (MSI), and Late-stage Growth Potential (LGP), were introduced to quantify temporal strength-development behavior. Then, Gaussian Mixture Model (GMM) clustering was employed in the ESI-MSI-LGP feature space to identify latent strength-development pathways. Based on the available core dataset, three representative strength-development pathways were identified: Fast-hardening, Delayed-hardening, and Balanced-hardening. The Fast-hardening pathway exhibited the highest average ESI and MSI values, indicating rapid early- and mid-age strength attainment. The Delayed-hardening pathway showed lower ESI and MSI values but the highest LGP value, reflecting stronger later-age strength-growth potential after 7 days. The Balanced-hardening pathway was characterized by relatively low ESI, high MSI, and low LGP, suggesting accelerated strength development between 3 and 7 days. Further analysis of mix-design variables indicated that pathway formation was associated with the coupled effects of aggregate-to-binder proportion, activator chemistry, water availability, precursor composition, and curing conditions, rather than being controlled by a single dominant factor. Finally, a smooth probability-based strength-development map was established in the ESI-MSI feature space, providing a practical visualization tool for approximate pathway identification and preliminary mixture-selection support. The proposed framework shifts the focus from conventional strength prediction toward strength-development behavior characterization and offers new insights into the macroscopic hardening patterns of one-part geopolymers.
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