Abstract
A mesoscale model was developed to investigate the effect of steel fiber on the thermal conductivity of steel fiber-reinforced concrete (SFRC). Delaunay triangulation was employed to generate the unstructured mesh for SFRC materials. The model was validated using the existing experimental data. Then, it was used to study how model thickness affected simulation outcomes of thermal conductivity of models with different fiber lengths, by which an appropriate thickness was determined for the later analyses. The validated and optimized model was applied to the study of relationships between thermal conductivity and factors such as fiber content, fiber aspect ratio and different parts of an SFRC block by conducting steady-state heat analyses with the finite element analysis software ANSYS. The simulation results reveal that adding steel fiber increases thermal conductivity considerably, while fiber aspect ratio only has an insignificant effect. Besides, the presence of steel fibers has an obvious impact on the distribution of temperature and heat flux vector of the SFRC blocks.
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Acknowledgments
The authors gratefully acknowledge the financial support of Australian Research Council under the grant DP160104661 and the Australian Government Research Training Program Scholarship.
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The raw/processed data required to reproduce these findings cannot be shared at this time as the data also form part of an ongoing study.
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Liang, X., Wu, C. Investigation on Thermal Conductivity of Steel Fiber Reinforced Concrete Using Mesoscale Modeling. Int J Thermophys 39, 142 (2018). https://doi.org/10.1007/s10765-018-2465-1
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DOI: https://doi.org/10.1007/s10765-018-2465-1