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Elena, K.*; Teklu, H.*; Wang, Y.*; Iwatsuki, Teruki; Ozaki, Yusuke
no journal, ,
In this study, Discrete Fracture Network Model (DFN) is built based on the fracture data observed in the Mizunami Underground Research Laboratory. 297 fractures data with discharge is analyzed for the estimation of stochastic quantity under the assumption that those fractures are permeable and have an great impact on the hydraulic conductivity field. Both models of fracture and hydraulic conductivity around the Closure Test Drift at the depth of 500m are generated from derived stochastic models. The hydraulic model is input into the numerical simulation. The matching of calculated and observed inflow into research tunnel indicates the validity of generated model and modeling approach for fractured rock. These results are a part of results in Task C of Decovalex2019.
Teklu, H.*; Elena, K.*; Wang, Y.*; Iwatsuki, Teruki; Ozaki, Yusuke
no journal, ,
In this study, the time variation of hydraulic head and Cl concentration during excavation of Closure Test Drift at the depth of 500m in Mizunami Underground Research Laboratory is simulated. The equivalent continuous porous medium model converted from Discrete Network Model is used to consider the highly heterogeneous feature of fractured rock. The simulated change in hydraulic head shows the good accordance with the observed data. However, the estimated time variations of Cl concentration show the slight change and can not reproduce the observed data. The improvement of prediction of change in Cl concentration is one of future task. These results are parts of results of Decvalex2019 Task C.