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DECOVALEX-2011 Task A – Step 1 JAEA’s Results

DECOVALEX-2011 Task A – Step 1 JAEA’s Results. Japan Atomic Energy Agency Shigeo Nakama and Tomoo Fujita. DECOVALEX-2011 3 rd Workshop in Korea 2009/04. Contents. Simulation flow Summary of Step 0 on JAEA team Model description and input data on Step 1 Simulation results on Step 1

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DECOVALEX-2011 Task A – Step 1 JAEA’s Results

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  1. DECOVALEX-2011 Task A – Step 1JAEA’s Results Japan Atomic Energy Agency Shigeo Nakama and Tomoo Fujita DECOVALEX-2011 3rd Workshop in Korea 2009/04

  2. Contents • Simulation flow • Summary of Step 0 on JAEA team • Model description and input data on Step 1 • Simulation results on Step 1 (including compare with in-situ data) • Conclusions

  3. Simulation flow

  4. Simulation flow Step1~ Step0 Simulation of Ventilation Experiment (Phase 1) Simulation of Drying Test Properties of Opalinus Clay Today’s Presentation Water retention curve parameter of relative permeability

  5. Summary of step 0on JAEA team

  6. Summary of Step 0 on JAEA team Solid grain density • Properties of Opalinus Clay Porosity andsaturated volumetric water content Void ratio Permeability • Water retention curve (modified Van Genuchten model) • parameter of relative permeability l=0.65

  7. Summary of Step 0 on JAEA team l=0.65

  8. Model descriptionand input dataon Step 1

  9. Simulation model for Step1 σ=3.2MPa, pw=1.21MPa pw=1.21MPa σ=3.2MPa Micro tunnel（φ=1.3m) 130m Opaｌinus Clay pw=2.49MPa σ=6.6MPa 130m From DECOVALEX-2011: Description of Task A

  10. Simulation model (mesh) for Step1 • Node: 3960 65m • Element: 1888 130m 1.3m

  11. Applied Relative humidity Step 1 P2 Phase 0 P1

  12. Suction of microtunnel wall • Kelvin law No.2 No.1 No.3 No.4 Applied RH No.5

  13. Simulation results

  14. Result – RH around micro tunnel

  15. Compare simulation with VE 100 80

  16. Water pressure (simulation results) n3187 n3003 n1185 n1311 n1087 n773

  17. Water pressure (simulation and in-situ data) n3187 n3003 In-situ data n1185 n1311 n1087 n773

  18. Water pressure (in-situ data) n3187 n3003 n1185 n1311 n1087 n773

  19. Distribution of water pressure Unsaturated zone vertical 45degree Micro tunnel horizontal Gap (0.6m)

  20. Relative displacement around the micro tunnel (simulation and in-situ data) sidewall compression (BVE-47) (BVE-49) expansion

  21. Relative displacement around the micro tunnel (simulation and in-situ data) sidewall (BVE-47) compression (BVE-49) expansion

  22. Deformation mechanism • Effective stress principle for porous media : Total stress : Effective stress : Saturation (Sr) Effective stress Water pressure : wetting liquid pressure decrease increase : Unit matrix expansion 85%=>100% increase decrease (suction) compression 100%=>80%=>30%=>2%

  23. Relative displacement around the micro tunnel (simulation and in-situ data) Gap sidewall (BVE-47) compression (BVE-49) expansion Gap

  24. Effect of volumetric swelling thermal expansion • Effective strain saturation driven moisture swelling volume change ratio by entrapment of liquid elastic pore pressure Model-1 c.f. buffer material of Japanese H12 design Model-2 Model-3 Advised by Dr. Garitte

  25. Relative displacement around the microtunnel (considered moisture swelling)

  26. Relative displacement around the micro tunnel (considered moisture swelling) roof (BVE-46) sidewall (BVE-47, 49) batholith (BVE-48) sidewall Gap roof batholith Gap Gap Gap Gap Gap

  27. Effect of volumetric swelling with anisotropy Model-2 Horizontal direction Vertical direction

  28. Relative displacement around the micro tunnel (moisture swelling with anisotropy) roof (BVE-46) sidewall (BVE-47, 49) batholith (BVE-48) sidewall Influence of adapted RH on micro tunnel wall roof batholith other mechanism?

  29. Conclusions (1) • Relative humidity • Water pressure • Good agreement between results of simulation and Ventilation Experiment data. => Setting parameter, assumption and model are reasonable. => Small difference (location, unsaturated zone) was considered as the cause by boundary condition of micro tunnel wall. Because we adapted “RH-in” data directory, but in fact, there was difference between “RH-in” and “RH tunnel sensor”.

  30. Conclusions (2) • Relative displacement around tunnel • Simulation denote the same tendency of VE data => basal deformation mechanism is effect of water pressure (suction) • Magnitude of displacement is a difference between simulation and in-situ data. => We considered that moisture swelling is included in displacement data. => There is anisotropy in moisture swelling. • We can not simulate displacement of roof of micro tunnel. => There is other displacement mechanism. • Water balance =>We will estimate after the workshop. Sorry.

  31. Thank you !

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