Upgrading the FNETF Computational Code for Modeling of Groundwater Inflow into Underground Excavations by Using the Stochastic Continuum Theory

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JAVADI M.; SAYADI S.

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Journal: TUNNELING & UNDERGROUND SPACE ENGINEERING Year:2018 | Volume:7 | Issue:1 Page(s): 1-17

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Title

Upgrading the FNETF Computational Code for Modeling of Groundwater Inflow into Underground Excavations by Using the Stochastic Continuum Theory

Author(s)

JAVADI M. | SAYADI S. | Issue Writer Certificate

Keywords

Hydraulic BehaviorQ1

Stochastic Continuum TheoryQ1

Groundwater inflowQ1

Underground ExcavationsQ1

Flow UncertaintyQ1

FNETF Computational CodeQ1

Abstract

Summary In this study, modeling of Groundwater inflow into Underground Excavations was studied based on the Stochastic Continuum Theory. To reach this goal, the two dimensional FNETF Computational Code was modified based on the Stochastic Continuum Theory to model Groundwater inflow into Underground Excavations. The accuracy of the computations in this code was evaluated from validation point of view. Introduction All geological formations show random variation (or spatial nonuniformity) in the values of hydrogeological parameters leading to a considerable amount of uncertainty in the hydrogeological models. Therefore, it is essential to characterize the uncertainty of groundwater processes that can be achieved through the implementation of Stochastic Continuum Theory. This method can be used to estimate the most likely range of Groundwater inflow into Underground Excavations and assess the uncertainty of estimates. Methodology and Approaches In this paper, the FNETF Computational Code was modified based on the Stochastic Continuum Theory, and then, the accuracy of computations in this code was evaluated from validation point of view. The results of analytical and numerical (by performing phase2 software) solutions for hydraulic head distribution around the circular tunnel, and also, the Groundwater inflow rates were used to validate the accuracy of FNETF Computational Code. Then, the role of hydraulic properties of rock mass was investigated through parameter study. Results and Conclusions The results of this study for modification and validation of FNETF Computational Code show that the outputs of this code for ideal media (having near zero standard deviation of hydraulic conductivity) in terms of both hydraulic head distribution around the tunnel and the Groundwater inflow rates are appropriately in good agreement with those obtained from ideal analytical and numerical solutions. Therefore, this computational code can be successfully applied for modeling Groundwater inflow into Underground Excavations by the application of the Stochastic Continuum Theory. The results of parameter study and sensitivity analysis also show that the maximum, minimum, and average values of Groundwater inflow into the study tunnel decreases by increasing the standard deviation of the rock mass hydraulic conductivity. For very heterogeneous rock masses, both the analytical solution and deterministic numerical methods overestimate (i. e. with one or more order of magnitudes) the Groundwater inflow into the tunnel in comparison with the stochastic continuum method.

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APA: Copy

JAVADI, M., & SAYADI, S.. (2018). Upgrading the FNETF Computational Code for Modeling of Groundwater Inflow into Underground Excavations by Using the Stochastic Continuum Theory. TUNNELING & UNDERGROUND SPACE ENGINEERING, 7(1 ), 1-17. SID. https://sid.ir/paper/231597/en

Vancouver: Copy

JAVADI M., SAYADI S.. Upgrading the FNETF Computational Code for Modeling of Groundwater Inflow into Underground Excavations by Using the Stochastic Continuum Theory. TUNNELING & UNDERGROUND SPACE ENGINEERING[Internet]. 2018;7(1 ):1-17. Available from: https://sid.ir/paper/231597/en

IEEE: Copy

M. JAVADI, and S. SAYADI, “Upgrading the FNETF Computational Code for Modeling of Groundwater Inflow into Underground Excavations by Using the Stochastic Continuum Theory,” TUNNELING & UNDERGROUND SPACE ENGINEERING, vol. 7, no. 1 , pp. 1–17, 2018, [Online]. Available: https://sid.ir/paper/231597/en

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