Scoping analyses of the coupled thermal-hydrological-mechanical behaviour of the rock mass around a nuclear fuel waste repository

1997 ◽  
Vol 47 (4) ◽  
pp. 379-400 ◽  
Author(s):  
A.P.S. Selvadurai ◽  
T.S. Nguyen
1982 ◽  
Vol 19 (4) ◽  
pp. 789-803 ◽  
Author(s):  
Denver Stone ◽  
D. Choudari Kamineni

Fractures in the Eye–Dashwa pluton near Atikokan, Ontario can be subdivided on the basis of their filling materials. These materials include aplite, epidote, chlorite, and gypsum–carbonate–clay, listed in order of decreasing age established from crosscutting relations. Textures indicate that infilling occurred during fracture growth. Continuous cooling of the pluton during fracturing is inferred from the expected crystallization temperatures of fillings. Fracturing began before the pluton was completely solidified (650–600 °C) and continued to temperatures below 100 °C. Many fractures appear to have been sealed by the filling materials after initiation but were subsequently sheared and filled by lower temperature materials. Apparently the majority of fractures formed during or immediately after pluton solidification and new fractures became smaller and more restricted in location as cooling progressed. Fractures and filling materials are seen as important features in assessing the possibility of movement of radionuclides in aqueous solutions away from a nuclear fuel waste repository.


2021 ◽  
Vol 11 (8) ◽  
pp. 3351
Author(s):  
Gabor Somodi ◽  
Neil Bar ◽  
László Kovács ◽  
Marco Arrieta ◽  
Ákos Török ◽  
...  

A comprehensive understanding of geological, structural geological, hydrogeological and geotechnical features of the host rock are essential for the design and performance evaluation of surface and underground excavations. The Hungarian National Radioactive Waste Repository (NRWR) at Bátaapáti is constructed in a fractured granitic formation, and Telfer Gold Mine in Australia is excavated in stratified siltstones, sandstones and quartzites. This study highlights relationships between GSI chart ratings and calculated GSI values based on RMR rock mass classification data. The paper presents linear equations for estimating GSI from measured RMR89 values. Correlations between a and b constants were analyzed for different rock types, at surface and subsurface settings.


Sign in / Sign up

Export Citation Format

Share Document