Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo
From MaRDI portal
Publication:2176854
DOI10.1016/j.compfluid.2019.104420OpenAlexW3004865450MaRDI QIDQ2176854
Prashant Kumar, Martin Schmelzer, Richard P. Dwight
Publication date: 5 May 2020
Published in: Computers and Fluids (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.00872
Related Items (2)
Uncertainty quantification analysis for simulation of wakes in wind-farms using a stochastic RANS solver, compared with a deep learning approach ⋮ Data-driven RANS closures for wind turbine wakes under neutral conditions
Cites Work
- Unnamed Item
- Unnamed Item
- Multi-index Monte Carlo: when sparsity meets sampling
- Bayesian estimates of parameter variability in the \(k-\varepsilon\) turbulence model
- Predictive RANS simulations via Bayesian model-scenario averaging
- Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients
- Flow over periodic hills -- numerical and experimental study in a wide range of Reynolds numbers
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach
- Multi-level Monte Carlo finite volume methods for uncertainty quantification of acoustic wave propagation in random heterogeneous layered medium
- Random matrix theory for modeling uncertainties in computational mechanics
- Epistemic uncertainties in RANS model free coefficients
- A methodology to evaluate statistical errors in DNS data of plane channel flows
- A random matrix approach for quantifying model-form uncertainties in turbulence modeling
- Multi-index stochastic collocation for random PDEs
- A continuation multi level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics
- A continuation multilevel Monte Carlo algorithm
- Convergence analysis of multilevel Monte Carlo variance estimators and application for random obstacle problems
- A calculation procedure for heat, mass and momentum transfer in three- dimensional parabolic flows
- Sparse tensor multi-level Monte Carlo finite volume methods for hyperbolic conservation laws with random initial data
- Presentation of anisotropy properties of turbulence, invariants versus eigenvalue approaches
- A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics
- Multilevel Monte Carlo Methods
- Statistical Turbulence Modelling for Fluid Dynamics — Demystified
- Multilevel Monte Carlo Path Simulation
- A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data
- A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow
- A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
- Direct numerical simulation of turbulent flow in a square duct
- Fast and Exact Simulation of Stationary Gaussian Processes through Circulant Embedding of the Covariance Matrix
- A new hybrid turbulence modelling strategy for industrial CFD
- Turbulent Flows
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- A MULTIGRID MULTILEVEL MONTE CARLO METHOD USING HIGH-ORDER FINITE-VOLUME SCHEME FOR LOGNORMAL DIFFUSION PROBLEMS
- High-Order Collocation Methods for Differential Equations with Random Inputs
This page was built for publication: Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo
