Effects of Water-to-Cement Ratio on Pore Structure Evolution and Strength Development of Cement Slurry Based on HYMOSTRUC3D and Micro-CT

Changing the water-to-cement ratio is one of the major ways to develop cement slurry with different densities, which in turn will greatly affect the pore structure and mechanical properties of cement slurry. In the current study, the cement hydration model HYMOSTRUC3D was used to investigate the eff...

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Veröffentlicht in:Applied sciences 2021-04, Vol.11 (7), p.3063, Article 3063
Hauptverfasser: Zheng, Shaojun, Liu, Tianle, Jiang, Guosheng, Fang, Changliang, Qu, Bo, Gao, Peng, Li, Lixia, Feng, Yingtao
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Sprache:eng
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Zusammenfassung:Changing the water-to-cement ratio is one of the major ways to develop cement slurry with different densities, which in turn will greatly affect the pore structure and mechanical properties of cement slurry. In the current study, the cement hydration model HYMOSTRUC3D was used to investigate the effects of water-to-cement (w/c) ratio (0.40, 0.44, 0.50) on the pore structure evolution and strength development of cement slurry. The microstructure of the cement stone was characterized via scanning electron microscope (SEM) and micro-computed tomography (micro-CT), and the mechanical strength of the cement stone was tested and analyzed via a mechanical tester. The simulated compressive strength and capillary porosity are in good agreement with the measured data, where the relative error between the simulated results and measured results are within 0.6 similar to 10.7% and 13.04 similar to 25.31%, respectively. The capillary porosity is proved as the main factor affecting the compressive strength of cement stone with different w/c ratios. Herein, the mathematical relationship between the measured capillary porosity and compressive strength could be well fitted via the mathematical prediction models of the Balshin function (R-2 = 0.95), Ryshkewitch function (R-2 = 0.94), Schiller function (R-2 = 0.96), and the linear regression function (R-2 = 0.95). Moreover, the linear regression function (y = -2.38x + 82.76) can be used to characterize and predict the quantitative relationship between the compressive strength and capillary porosity of cement stone. The findings in this study will provide a reference value in the fields of oil and gas cementing and building concrete.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11073063