A method for measuring wetting and swelling of bentonite using X-ray imaging
Harjupatana, T., Miettinen, A., & Kataja, M. (2022). A method for measuring wetting and swelling of bentonite using X-ray imaging. Applied Clay Science, 221, Article 106485. https://doi.org/10.1016/j.clay.2022.106485
Julkaistu sarjassa
Applied Clay SciencePäivämäärä
2022Tekijänoikeudet
© 2022 The Author(s). Published by Elsevier B.V.
A non-invasive method based on X-ray imaging for measuring deformation and water transport in wetting and swelling bentonite samples is introduced. Sequential X-ray images taken of the samples were used to calculate the attenuation coefficient and deformation. These results, together with careful calibration, allowed finding the dry density and water content distributions and their temporal evolution in the wetting and swelling samples. A specific correction technique, based on regularly taking reference X-ray images of aluminum plates of varying thickness, was developed and used to take into account X-ray beam instabilities and thus to improve the accuracy of density analysis. Large deformation, present in the experiments, was measured with an improved version of a block-matching algorithm. The X-ray imaging method was used here to measure the axial swelling of compacted MX-80 bentonite samples in a tube when in contact with saline solution (0.1 M NaCl). This setup mimics a scenario where bentonite, planned to be used as a buffer material in a nuclear waste repository placed deep in the bedrock, swells into a rock fracture filled by groundwater. The method yielded potentially valuable data on hydro-mechanical behavior of bentonite, which may be used in developing and validating material models to be used in safety assessment of nuclear waste repository concepts.
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Julkaisija
ElsevierISSN Hae Julkaisufoorumista
0169-1317Asiasanat
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https://converis.jyu.fi/converis/portal/detail/Publication/117409177
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The research leading to these results has received funding from the European Atomic Energy Community's 7th Framework Programme (FP7/2007-2011) under grant agreement no. 295487.Lisenssi
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