A gPC-based approach to uncertain transonic aerodynamics
From MaRDI portal
Publication:649219
DOI10.1016/j.cma.2009.11.021zbMath1227.76054OpenAlexW1970702125MaRDI QIDQ649219
Didier Lucor, Philippe Guillen, Pierre Sagaut, Franck Simon
Publication date: 30 November 2011
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11693/22413
Transonic flows (76H05) Stochastic analysis applied to problems in fluid mechanics (76M35) Spectral methods applied to problems in fluid mechanics (76M22)
Related Items (16)
On sensitivity of RANS simulations to uncertain turbulent inflow conditions ⋮ Efficient uncertain \(k_{\mathrm{eff}}\) computations with the Monte Carlo resolution of generalised polynomial chaos based reduced models ⋮ Epistemic uncertainties in RANS model free coefficients ⋮ Subcell resolution in simplex stochastic collocation for spatial discontinuities ⋮ Sparse grids-based stochastic approximations with applications to aerodynamics sensitivity analysis ⋮ Numerical Analysis of the Monte-Carlo Noise for the Resolution of the Deterministic and Uncertain Linear Boltzmann Equation (Comparison of Non-Intrusive gPC and MC-gPC) ⋮ A stochastic surrogate model approach applied to calibration of unstable fluid flow experiments ⋮ Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics ⋮ Treatment of uncertain material interfaces in compressible flows ⋮ Uncertainty analysis of vibrational frequencies of an incompressible liquid in a rectangular tank with and without a baffle using polynomial chaos expansion ⋮ On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust ⋮ A hybrid anchored-ANOVA - POD/Kriging method for uncertainty quantification in unsteady high-fidelity CFD simulations ⋮ Uncertainty quantification for stochastic dynamical systems using time-dependent stochastic bases ⋮ An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses ⋮ Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification ⋮ Multigroup-like MC resolution of generalised polynomial chaos reduced models of the uncertain linear Boltzmann equation (+discussion on hybrid intrusive/non-intrusive uncertainty propagation)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Uncertainty propagation using Wiener-Haar expansions
- Uncertainty quantification for systems of conservation laws
- Stochastic design optimization: application to reacting flows
- Stochastic approaches to uncertainty quantification in CFD simulations
- Uncertainty quantification for chaotic computational fluid dynamics
- Predicting shock dynamics in the presence of uncertainties
- Information Theory and Statistical Mechanics
- Stochastic heat transfer enhancement in a grooved channel
- Sensitivity of two-dimensional spatially developing mixing layers with respect to uncertain inflow conditions
- Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos
- Uncertainty propagation in CFD using polynomial chaos decomposition
- High-Order Collocation Methods for Differential Equations with Random Inputs
- A stochastic projection method for fluid flow. I: Basic formulation
This page was built for publication: A gPC-based approach to uncertain transonic aerodynamics