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Research Article

Numerical modeling of temperature profiles in hardening belitic calcium sulfoaluminate cement-based mortars for permafrost region applications

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Abstract

Belitic calcium sulfoaluminate (BCSA) cement-based mixtures are suitable for permafrost region applications due to their fast strength development. To better understand their performance and guide future applications, this study aimed to develop a numerical model for predicting the temperature profiles in BCSA cement-based mixtures used in permafrost regions. Isothermal calorimetry and the Arrhenius equation were used to determine the heat generation rate of BCSA cement. The modeling of temperature profiles in BCSA cement-based mixtures was implemented with a finite element model, which was validated with experimental results. In the model, the temperature profiles in BCSA cement-based samples cured in cold sand (0 °C, −5 °C and −10 °C) to mimic the influence of permafrost environments, and another group was cured in cold air at the same temperatures. The results indicate that the developed numerical model can accurately predict the temperature profiles in hardening BCSA cement-based mixtures for permafrost region applications (root mean square error ≤ 1.3 °C). The modeling results provided valuable guidance to future research and practical applications of BCSA cement-based mixtures in permafrost regions. First, samples should be cured in cold soil or sand when investigating the performance of BCSA cement-based materials used in permafrost regions because the temperature in samples cured in sand was notably (e.g. 28 °C) lower than that of the same mixture cured in air. Second, precautions are needed to control thermal cracks when BCSA cement-based mixtures are used in cold temperatures because the temperature gradient (e.g. 45 °C) in the BCSA cement-based sample was high even if the sample size was small (e.g. Ø300 × 600mm).

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Funding

This study was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC RGPIN-2017-05537). The first author would like to thank the China Scholarship Council for providing a scholarship.

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