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Original title:
Multi-fidelity Techniques and Uncertainty Quantification for Mechanical and Transport Processes in Fractured Rock
Authors: Březina, J. ; Exner, P. ; Špetlík, M. ; Stebel, J. ; Béreš, Michal ; Bérešová, Simona ; Sysala, Stanislav
Document type: Research reports
Year: 2024
Language: eng
Series: EURAD, volume: EURAD - D4.7 Report describing numerical improvement and developments and their application to treat uncertainty when dealing with coupled processes
Abstract: The report summarizes the results achieved by teams from the Technical University of Liberec and the Institute of Geonics of the Czech Academy of Sciences, as part of Task 4 within the DONUT\nworkpackage. We introduce a parallel Bayesian inversion library based on the delayed acceptance Metropolis-Hastings method for accelerated sampling using suitable surrogate models. Then we apply\nthe library to an inverse problem, specifically the identification of the parameters to the hydro-mechanical model describing formation of the excavation disturbed zone. Additionally, we introduce a multilevel Monte Carlo method (MLMC) library, which has been effectively applied to test transport problems. We present a neural network developed for fast numerical homogenization of small-scale discrete fractures in the 2D case. This represents a crucial advancement for applying MLMC to models with discrete fracture networks. Finally, we integrate developed methods into a benchmark safety study for near-field transport.
Keywords: accelerated sampling using suitable surrogate models; excavation disturbed zone; Monte Carlo method (MLMC) library
Project no.: 847593
Note: Související webová stránka: https://www.ejp-eurad.eu/publications/eurad-d47-report-describing-numerical-improvement-and-developments-and-their
Institution: Institute of Geonics AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: https://hdl.handle.net/11104/0360997
Permalink: http://www.nusl.cz/ntk/nusl-668986
The record appears in these collections:
Research > Institutes ASCR > Institute of Geonics
Reports > Research reports
Authors: Březina, J. ; Exner, P. ; Špetlík, M. ; Stebel, J. ; Béreš, Michal ; Bérešová, Simona ; Sysala, Stanislav
Document type: Research reports
Year: 2024
Language: eng
Series: EURAD, volume: EURAD - D4.7 Report describing numerical improvement and developments and their application to treat uncertainty when dealing with coupled processes
Abstract: The report summarizes the results achieved by teams from the Technical University of Liberec and the Institute of Geonics of the Czech Academy of Sciences, as part of Task 4 within the DONUT\nworkpackage. We introduce a parallel Bayesian inversion library based on the delayed acceptance Metropolis-Hastings method for accelerated sampling using suitable surrogate models. Then we apply\nthe library to an inverse problem, specifically the identification of the parameters to the hydro-mechanical model describing formation of the excavation disturbed zone. Additionally, we introduce a multilevel Monte Carlo method (MLMC) library, which has been effectively applied to test transport problems. We present a neural network developed for fast numerical homogenization of small-scale discrete fractures in the 2D case. This represents a crucial advancement for applying MLMC to models with discrete fracture networks. Finally, we integrate developed methods into a benchmark safety study for near-field transport.
Keywords: accelerated sampling using suitable surrogate models; excavation disturbed zone; Monte Carlo method (MLMC) library
Project no.: 847593
Note: Související webová stránka: https://www.ejp-eurad.eu/publications/eurad-d47-report-describing-numerical-improvement-and-developments-and-their
Institution: Institute of Geonics AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: https://hdl.handle.net/11104/0360997
Permalink: http://www.nusl.cz/ntk/nusl-668986
The record appears in these collections:
Research > Institutes ASCR > Institute of Geonics
Reports > Research reports
Record created 2025-01-12, last modified 2025-01-12