Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 379, Issue 2197, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsta.2020.0072
Keywords
uncertainty quantification; uncertainty propagation; multiscale simulation; surrogate modelling
Categories
Funding
- European Union [800925]
- Netherlands eScience Center under the e-MUSC (Enhancing Multiscale Computing with Sensitivity Analysis and Uncertainty Quantification) project
- NWO ExacteWetenschappen (Physical Sciences)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Science Research, NWO)
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Uncertainty quantification is a key component in computational models involving uncertainties, and this work presents uncertainty quantification patterns designed to support the analysis of uncertainty in coupled multi-scale and multi-domain applications. The UQPs provide basic building blocks for tailored uncertainty quantification in multiscale models.
Uncertainty quantification (UQ) is a key component when using computational models that involve uncertainties, e.g. in decision-making scenarios. In this work, we present uncertainty quantification patterns (UQPs) that are designed to support the analysis of uncertainty in coupled multi-scale and multi-domain applications. UQPs provide the basic building blocks to create tailored UQ for multiscale models. The UQPs are implemented as generic templates, which can then be customized and aggregated to create a dedicated UQ procedure for multiscale applications. We present the implementation of the UQPs with multiscale coupling toolkit Multiscale Coupling Library and Environment 3. Potential speed-up for UQPs has been derived as well. As a proof of concept, two examples of multiscale applications using UQPs are presented. This article is part of the theme issue 'Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico'.
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