Numerical prediction of the influence of uncertain inflow conditions in pipes by polynomial chaos

DOI10.1080/10618562.2015.1112899OpenAlexW2183443387MaRDI QIDQ5072572

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Publication date: 29 April 2022

Published in: International Journal of Computational Fluid Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618562.2015.1112899

zbMATH Keywords

pipe flowuncertainty quantificationcomputational fluid dynamics (CFD)disturbed inflow profilenon-intrusive generalised polynomial chaos

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Numerical analysis (65-XX)

Uses Software

• TOMS659

Cites Work

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• Numerical integration using sparse grids
• A stochastic projection method for fluid flow. II: Random process
• Modeling uncertainty in flow simulations via generalized polynomial chaos.
• On sensitivity of RANS simulations to uncertain turbulent inflow conditions
• Stochastic analysis of transport in tubes with rough walls
• The orthogonal development of non-linear functionals in series of Fourier-Hermite functionals
• Efficient computation of unsteady flow in complex river systems with uncertain inputs
• Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures
• Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics
• Spectral Methods for Uncertainty Quantification
• Algorithm 659
• Fluid Mechanics of Flow Metering
• Numerical prediction of turbulent flows using Reynolds‐averaged Navier–Stokes and large‐eddy simulation with uncertain inflow conditions
• Sensitivity of two-dimensional spatially developing mixing layers with respect to uncertain inflow conditions
• Uncertainty propagation in CFD using polynomial chaos decomposition
• On the distribution of points in a cube and the approximate evaluation of integrals
• A stochastic projection method for fluid flow. I: Basic formulation