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Modified RMR Rock Mass Classification System for Preliminary Selection of Potential Sites of High-Level Radioactive Waste Disposal Engineering

Author

Listed:
  • Yue Tong

    (Broadvision Engineering Consultants, Kunming 650041, China)

  • Yao Yue

    (Department of Highway and Architectural Engineering, Yunnan Communications Vocational and Technical College, Kunming 650500, China)

  • Zhongkai Huang

    (Key Laboratory of Geotechnical and Underground Engineering, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China)

  • Liping Zhu

    (University Lille, CNRS, Centrale Lille, UMR9013, LaMcube, F-59000 Lille, France)

  • Zhihou Li

    (Broadvision Engineering Consultants, Kunming 650041, China)

  • Wei Zhang

    (Broadvision Engineering Consultants, Kunming 650041, China)

Abstract

This paper proposed a modified Rock Mass Rating ( RMR ) system, the RMR HLW system, for evaluating the rock quality of High-level Radioactive Waste (HLW) geological disposal engineering. Some salient factors, including the weakening of groundwater and temperature on the uniaxial compressive strength, the continuity of index values, the geostress, the rock permeability, and the groundwater chemical properties, were further incorporated based on the widely used RMR system. The proposed RMR HLW system was then verified by the case study of selection of nine candidate sites for HLW disposal engineering in China. The results indicated that the rock quality of the Xinchang site was the best and ranked as the most appropriate site, while the Jiujing site ranked the worst. Compared with the traditional RMR system, the proposed RMR HLW system can further consider crucial factors related to the long-term safety of HLW disposal and better reflect the differences between the potential sites. It can facilitate engineers to preliminarily evaluate the rock quality of the potential sites for High-level Radioactive Waste geological disposal engineering.

Suggested Citation

  • Yue Tong & Yao Yue & Zhongkai Huang & Liping Zhu & Zhihou Li & Wei Zhang, 2022. "Modified RMR Rock Mass Classification System for Preliminary Selection of Potential Sites of High-Level Radioactive Waste Disposal Engineering," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15596-:d:981940
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    References listed on IDEAS

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    1. Mohamed Alwaeli & Viktoria Mannheim, 2022. "Investigation into the Current State of Nuclear Energy and Nuclear Waste Management—A State-of-the-Art Review," Energies, MDPI, vol. 15(12), pages 1-22, June.
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