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To accurately simulate the hydration process of cementitious materials,understanding the growth rate of C-S-H layers around clinker grains is crucial.Nonetheless, the thickness of the hydrate layer shows substantial variationaround individual grains, depending on their surrounding. Consequently, it isnot feasible to measure hydrate layers manually in a reliable and reproduciblemanner. To address this challenge, a software has been developed tostatistically determine the C-S-H thickness, requiring minimal manualinterventions for thresholding and for setting limits like particle size orcircularity.  This study presents a tool, which automatically identifies suitable clinkergrains and and perform statistical measurements of their hydrate layer up to aspecimen age of 28 days. The findings reveal a significant increase in theC-S-H layer, starting from 0.45 micrometer after 1 day and reaching 3.04micrometer after 28 days. However, for older specimens, the measurement of theC-S-H layer was not feasible due to limited pore space and clinker grains.

A python tool to determine the thickness of the hydrate layer around clinker grains using SEM-BSE images