Abstract
The bentonite pellet-contained material (PCM) is a desired joint sealer for high-level radioactive waste repositories. During the operation of the repository, however, the PCM is unsaturated for most of the period. The water retention capacity and permeability of PCM can thus directly affect the bentonite buffer barrier seepage, nuclide migration, and joint healing. Moreover, the performance of PCM can be strongly influenced by the particle size of bentonite pellets and dry density. In this work, the pressure plate method and vapor equilibrium technique were both utilized to test the soil–water characteristic curves (SWCCs) of the PCMs with varying particle sizes and dry densities. The unsaturated hydraulic conductivity of the PCMs was then predicted by combining the SWCC model and saturated hydraulic conductivity. The results showed that in the low suction range (20–1150 kPa), the dry density and particle size are anti-correlated with the water content. In the high suction range (4200–309,000 kPa), the SWCC is almost insensitive to the variation of dry density and particle size. The Gardner model is suitable for describing the SWCC of PCM. In addition, the hydraulic conductivity of the PCM increases with the rise in particle size, while it decreases as the dry density grows. Finally, the influence mechanism of the SWCC and hydraulic conductivity was further discussed based on the scanning electron microscopy images and pore size distribution curves.
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Acknowledgements
The authors are grateful for the financial support from the National Natural Science Foundation of China [Grant No. 41972265 and Grant No. 41672261].
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JZ: conceptualization, methodology, investigation, data curation, and writing—original draft preparation. ZS: writing—review and editing. HZ: conceptualization, supervision, funding acquisition, project administration, and writing—review and editing.
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Zhu, J., Su, Z. & Zhang, H. Soil–water characteristic curves and hydraulic conductivity of Gaomiaozi bentonite pellet-contained materials. Environ Earth Sci 81, 92 (2022). https://doi.org/10.1007/s12665-022-10200-7
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DOI: https://doi.org/10.1007/s12665-022-10200-7