Pages that link to "Item:Q354251"

The following pages link to Uncertainty quantification in computational fluid dynamics (Q354251):

Displaying 39 items.

• On the propagation of statistical model parameter uncertainty in CFD calculations (Q400483) (← links)
• A hybrid anchored-ANOVA - POD/Kriging method for uncertainty quantification in unsteady high-fidelity CFD simulations (Q525934) (← links)
• Deep learning observables in computational fluid dynamics (Q777521) (← links)
• Rigorous statistical bounds in uncertainty quantification for one-layer turbulent geophysical flows (Q1631293) (← links)
• About the uncertainty quantification of turbulence and cavitation models in cavitating flows simulations (Q1670929) (← links)
• Statistical solutions of hyperbolic conservation laws: foundations (Q1675115) (← links)
• Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method (Q1702359) (← links)
• The discrete stochastic Galerkin method for hyperbolic equations with non-smooth and random coefficients (Q1703052) (← links)
• Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification (Q1757391) (← links)
• Modeling uncertainty in flow simulations via generalized polynomial chaos. (Q1873429) (← links)
• Adaptive single- and multilevel stochastic collocation methods for uncertain gas transport in large-scale networks (Q2090690) (← links)
• Uncertainty quantification of viscoelastic parameters in arterial hemodynamics with the a-FSI blood flow model (Q2124891) (← links)
• Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection (Q2133780) (← links)
• Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems (Q2136471) (← links)
• Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation (Q2168319) (← links)
• Uncertainty quantification methodology for hyperbolic systems with application to blood flow in arteries (Q2218595) (← links)
• On stochastic Galerkin approximation of the nonlinear Boltzmann equation with uncertainty in the fluid regime (Q2222507) (← links)
• Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence (Q2222797) (← links)
• Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets (Q2236928) (← links)
• Sensitivity of computational fluid dynamics simulations against soft errors (Q2244061) (← links)
• Estimating parameter and discretization uncertainties using a laminar-turbulent transition model (Q2245551) (← links)
• Multi-level Monte Carlo finite volume method for shallow water equations with uncertain parameters applied to landslides-generated tsunamis (Q2285872) (← links)
• Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations (Q2312120) (← links)
• Uncertainty quantification for data assimilation in a steady incompressible Navier-Stokes problem (Q2842452) (← links)
• Uncertainty Quantification of the Interaction of a Vortex Pair With the Ground (Q3113022) (← links)
• Uncertainty Propagation; Intrusive Kinetic Formulations of Scalar Conservation Laws (Q3179315) (← links)
• SOME EXPERIMENTS WITH STABILITY ANALYSIS OF DISCRETE INCOMPRESSIBLE FLOWS IN THE LID-DRIVEN CAVITY (Q4447065) (← links)
• Entropy–Based Methods for Uncertainty Quantification of Hyperbolic Conservation Laws (Q5020150) (← links)
• An Information Criterion for Choosing Observation Locations in Data Assimilation and Prediction (Q5149776) (← links)
• Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches (Q5269866) (← links)
• Direct Assessment of Uncertainty using Stochastic Flow Simulation (Q5271315) (← links)
• Uncertainty Quantification for Hyperbolic Conservation Laws with Flux Coefficients Given by Spatiotemporal Random Fields (Q5739802) (← links)
• Fluid Dynamics Problems in Uncertain Environment (Q5854595) (← links)
• Uncertainty quantification analysis for simulation of wakes in wind-farms using a stochastic RANS solver, compared with a deep learning approach (Q6100092) (← links)
• Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification (Q6158540) (← links)
• A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws (Q6586799) (← links)
• Modern Monte Carlo methods for efficient uncertainty quantification and propagation: a survey (Q6602125) (← links)
• New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet (Q6633033) (← links)
• Parametric model reduction with convolutional neural networks (Q6648521) (← links)