Non-stationary transport phenomena in networks of fractures: Effective simulations and stochastic analysis-Reference-Cited by-同舟云学术

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Non-stationary transport phenomena in networks of fractures: Effective simulations and stochastic analysis

Published:2017-03 Issue: Volume:315 Page:1098-1112
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Berrone Stefano,Pieraccini Sandra,Scialò Stefano

Funder

Italian Miur through PRIN

INdAM-GNCS

Tecniche numeriche innovative per la simulazione di flussi in mezzi geologici poro-fratturati

Finanziamento GNCS Giovani Ricercatori 2015

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference48 articles.

1. Modeling fracture flow with a stochastic discrete fracture network: calibration and validation: 1. the flow model;Cacas;Water Resour. Res.,1990

2. A variable aperture fracture network model for flow and transport in fractured rocks;Nordqvist;Water Resour. Res.,1992

3. Derivation of equivalent pipe networks analogues for three-dimensional discrete fracture networks by the boundary element method;Dershowitz;Water Resour. Res.,1999

4. Hydraulic properties of two-dimensional random fracture networks following a power law length distribution: 2, permeability of networks based on log-normal distribution of apertures;Dreuzy;Water Resour. Res.,2001

5. The propagation of grout in pipe networks;Fidelibus;Comput. Geosci.,2012

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1. Efficient partitioning of conforming virtual element discretizations for large scale discrete fracture network flow parallel solvers;Engineering Geology;2022-09

2. A Reduced Basis Method for a PDE-constrained optimization formulation in Discrete Fracture Network flow simulations;Computers & Mathematics with Applications;2021-10

3. Machine learning for flux regression in discrete fracture networks;GEM - International Journal on Geomathematics;2021-04-25

4. Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks;Geosciences;2021-03-12

5. A Three-field Based Optimization Formulation for Flow Simulations in Networks of Fractures on Nonconforming Meshes;SIAM Journal on Scientific Computing;2021-01

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