This GitHub repo reassembles the source code used in the article Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model for Steam Generators published in the International Journal for Uncertainty Quantification:

• final version: DOI: 10.1615/Int.J.UncertaintyQuantification.2024051489
• preprint: hal-04381960
• preprint: arXiv:2401.05741.

To cite this work, please use the following BibTeX entry:

@article{jaber_et_al_IJUQ_2024,
  author  = {Jaber, E. and Chabridon, V. and Remy, E. and Baudin, M. and Lucor, D. and Mougeot, M. and Iooss, B.},
  title   = {{Sensitivity analyses of a multi-physics long-term clogging model for steam generators}},
  journal = {International Journal for Uncertainty Quantification},
  volume  = {},
  pages   = {},
  year    = {2024}
}

Its main purpose is to apply several uncertainty quantification tools (e.g., Polynomial Chaos Expansions, Sobol' and HSIC indices) available in the OpenTURNS C++/Python library.

The /scripts/ folder contains the corresponding Jupyter Notebooks in the order of the article sections, and all corresponding plots are in the /plots/ folder.

The data.zip folder is currently password-protected for data protection reasons. It can be provided upon request by sending an email to all of the following co-authors:

• edgar dot jaber at ens hyphen paris hyphen saclay dot fr,
• vincent dot chabridon at edf dot fr,
• emmanuel dot remy at edf dot fr,
• michael dot baudin at edf dot fr.