Issue |
E3S Web Conf.
Volume 290, 2021
2021 3rd International Conference on Geoscience and Environmental Chemistry (ICGEC 2021)
|
|
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Article Number | 02010 | |
Number of page(s) | 12 | |
Section | Geological and Hydrological Structure and Environmental Planning | |
DOI | https://doi.org/10.1051/e3sconf/202129002010 | |
Published online | 14 July 2021 |
A New Method for Estimating Elastic Parameters of Clay Rock Host Rock in Geological Disposal of High-Level Radioactive Waste in China
1 School of Geosciences, East China University of Technology Nanchang 330013, China
2 State Key Laboratory of Nuclear resources and environment East China University of technology, Nanchang 330013, China
3 Jiujiang University, Jiujiang, 332000, China
* Corresponding author: email address:
a 79313666@qq.com
b liuof99@163.com
Taking the clay rock from the Tamusu pre-selected area of China’s high-level radioactive waste geological repository as the research background. Using the methods of triaxial compression testing, X-ray diffraction and microscopic analysis, the main mineral composition, structure and mechanical properties of clay rock under different confining pressures were systematically obtained. Combined with the classical elastic parameter estimation methods at home and abroad, the elastic modulus of the clay rock in the Tamusu pre-selected area is estimated. It finds that the classical elastic parameter estimation method has a large error with the actual test value when calculating the elastic modulus of Tamusu clay rock. The maximum error can reach 788%, and the error decreases with the increase of confining pressure, however, the minimum error is still also 46%. In order to establish the deformation evaluation index suitable for the clay rock in the Tamusu pre-selected area of high-level radioactive waste, considering the influence of the mineral properties and structure of the clay rock on the macro-mechanics properties, a new method for estimating the elastic parameters of the clay rock was established. Compared with the classic elastic parameter estimation method, the maximum error is reduced to 33% and the minimum error is only 2%. Therefore, we suggest that the new elastic parameter estimation method proposed here may be used to evaluate and predict the elastic modulus parameters of the clay rock in the Tamusu pre-selected area for geological disposal of high-level radioactive waste in China.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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