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A Python Package for Uncertainty Quantification (UQ) in Computational Fluid Dynamics (CFD)

Project description

UQit

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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