Poot, Anne; Barcelos Carneiro M Da R, Iuri; Kerfriden, Pierre; Frans van der Meer (2025): Data underlying the publication: 'The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a610235b-7e45-4d8f-8a0b-64d8eb157b36.v1

Version 2 - 2025-10-06 (latest)

Categories

• Civil Engineering
• Numerical and Computational Mathematics
• Engineering
• Mathematical Sciences

Keywords

Discretization Error Finite Element Method Inverse Problems Probabilistic Numerics Uncertainty Quantification

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Anne Poot , Iuri Rocha , Pierre Kerfriden , Frans van der Meer

Two datasets to accompany the paper 'The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error' by Anne Poot, Iuri Rocha, Pierre Kerfriden and Frans van der Meer. Both datasets are MCMC samples generated following the procedure described in section 2.6 of the paper. The first dataset, pullout-bar.zip, is associated with section 3.1.1 of the paper. The second dataset, three-point-hole.zip, is associated with section 3.2.1 of the paper. The code to reproduce these datasets is available via the git repository linked below, in the probfem/experiments/reproduction/inverse/ directory.

History

• 2025-09-26 first online, published, posted

Publisher

4TU.ResearchData

Associated peer-reviewed publication

The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error

References

• https://github.com/annepoot/probfem.git

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Materials, Mechanics, Management & Design (3MD), Applied Mechanics, SLIMM Lab