All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Multi-fidelity Techniques and Uncertainty Quantification for Mechanical and Transport Processes in Fractured Rock

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F24%3A00603686" target="_blank" >RIV/68145535:_____/24:00603686 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ejp-eurad.eu/publications/eurad-d47-report-describing-numerical-improvement-and-developments-and-their" target="_blank" >https://www.ejp-eurad.eu/publications/eurad-d47-report-describing-numerical-improvement-and-developments-and-their</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-fidelity Techniques and Uncertainty Quantification for Mechanical and Transport Processes in Fractured Rock

  • Original language description

    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 DONUTnworkpackage. We introduce a parallel Bayesian inversion library based on the delayed acceptance Metropolis-Hastings method for accelerated sampling using suitable surrogate models. Then we applynthe 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.

  • Czech name

  • Czech description

Classification

  • Type

    V<sub>souhrn</sub> - Summary research report

  • CEP classification

  • OECD FORD branch

    20701 - Environmental and geological engineering, geotechnics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Number of pages

    19

  • Place of publication

    EU

  • Publisher/client name

    EU

  • Version