A Python Package for Uncertainty Quantification (UQ) in Computational Fluid Dynamics (CFD)
Project description
A Python Package for Uncertainty Quantification (UQ) in Computational Fluid Dynamics (CFD)
SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
Features:
-
Sampling:
- Various stochastic and spectral types of samples
-
Uncertainty propagation or UQ forward problem:
- generalized Polynomial Chaos Expansion (gPCE)
- Probabilistic PCE (PPCE)
-
Global sensitivity analysis (GSA):
- Sobol sensitivity indices
-
Surrogates:
- Lagrange interpolation
- gPCE
- Gaussian process regression (GPR)
Release Notes
Release v 1.0.2, 27.10.2020
Source code, documentation, tests and notebooks are provided for the above-listed features.
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