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Erschienen in: Hydrogeology Journal 5/2004

01.10.2004 | Paper

Determining the equivalent permeability tensor for fractured rock masses using a stochastic REV approach: Method and application to the field data from Sellafield, UK

verfasst von: Ki-Bok Min, Lanru Jing, Ove Stephansson

Erschienen in: Hydrogeology Journal | Ausgabe 5/2004

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Abstract

A numerical procedure to determine the equivalent permeability tensor of a fractured rock is presented, using a stochastic REV (Representative Elementary Volume) concept that uses multiple realizations of stochastic DFN (Discrete Fracture Network) models. Ten square DFN models are generated using the Monte Carlo simulations of the fracture system based on the data obtained from a site characterization program at Sellafield, Cumbria, UK. Smaller models with varying sizes of from 0.25 m×0.25 m to 10 m×10 m are extracted from the generated DFN models and are used as two-dimensional geometrical models for calculation of equivalent permeability tensor. The DFN models are also rotated in 30º intervals to evaluate the tensor characteristics of calculated directional permeability. Results show that the variance of the calculated permeability values decreases significantly as the side lengths of the DFN models increase, which justifies the existence of a REV. The REV side length found in this analysis is about 5 m and 8 m with 20% and 10% acceptable variations, respectively. The calculated directional permeability values at the REV size have tensor characteristic that is confirmed by a close approximation of an ellipse in a polar plot of the reciprocal of square roots of the directional permeability.

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Fußnoten
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Acronym of international project named DEvelopment of Coupled models and their VAlidation against EXperiments in nuclear waste isolation.
 
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Acronym of an European project named BENCHmark tests and guidance on coupled processes for Performance Assessment of nuclear waste Repositories
 
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Metadaten
Titel
Determining the equivalent permeability tensor for fractured rock masses using a stochastic REV approach: Method and application to the field data from Sellafield, UK
verfasst von
Ki-Bok Min
Lanru Jing
Ove Stephansson
Publikationsdatum
01.10.2004
Verlag
Springer-Verlag
Erschienen in
Hydrogeology Journal / Ausgabe 5/2004
Print ISSN: 1431-2174
Elektronische ISSN: 1435-0157
DOI
https://doi.org/10.1007/s10040-004-0331-7

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