Adaptive numerical dissipation control for high-order \(k\)-exact reconstruction schemes on vertex-centered unstructured grids using artificial neural networks
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Publication:2088363
DOI10.1016/j.jcp.2022.111633OpenAlexW4296520140MaRDI QIDQ2088363
Peter Ess, Florian Setzwein, Peter Gerlinger
Publication date: 21 October 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111633
unstructured gridsartificial neural networkshigh-order accuracyfinite-volume methodvon Neumann stability analysisadaptive numerical dissipation
Uses Software
Cites Work
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- Straightforward high-order numerical dissipation via the viscous term for direct and large eddy simulation
- Review of experimental data on incompressible turbulent round jets
- Controlling oscillations in high-order discontinuous Galerkin schemes using artificial viscosity tuned by neural networks
- A hyperbolic Poisson solver for tetrahedral grids
- High order conservative finite difference scheme for variable density low Mach number turbulent flows
- Compact finite difference schemes with spectral-like resolution
- A diagonally dominant second-order accurate implicit scheme
- Fully conservative higher order finite difference schemes for incompressible flow
- Weighted essentially non-oscillatory schemes
- High-order methods for computational fluid dynamics: a brief review of compact differential formulations on unstructured grids
- A high-order vertex-based central ENO finite-volume scheme for three-dimensional compressible flows
- Multiple-correction hybrid \(k\)-exact schemes for high-order compressible RANS-LES simulations on fully unstructured grids
- Highly energy-conservative finite difference method for the cylindrical coordinate system
- A high-order-accurate unstructured mesh finite-volume scheme for the advection-diffusion equation
- Space-time discontinuous Galerkin finite element method with dynamic grid motion for inviscid compressible flows. I: General formulation.
- Efficient implementation of weighted ENO schemes
- Subgrid-scale stress modelling based on the square of the velocity gradient tensor
- Enhanced fifth order WENO shock-capturing schemes with deep learning
- A neural network based shock detection and localization approach for discontinuous Galerkin methods
- Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks
- An implicit high-order \(k\)-exact finite-volume approach on vertex-centered unstructured grids for incompressible flows
- Towards the ultimate conservative difference scheme. V. A second-order sequel to Godunov's method
- Compact high order finite volume method on unstructured grids I: Basic formulations and one-dimensional schemes
- Enhancement of an industrial finite-volume code for large-eddy-type simulation of incompressible high Reynolds number flow using near-wall modelling
- An overview of projection methods for incompressible flows
- Compact high order finite volume method on unstructured grids. III: Variational reconstruction
- An artificial neural network as a troubled-cell indicator
- Computational Methods for Fluid Dynamics
- Parallel Implementation of k-Exact Finite Volume Reconstruction on Unstructured Grids
- Turbulence and energy budget in a self-preserving round jet: direct evaluation using large eddy simulation
- Numerical study of the turbulent flow past an airfoil with trailing edge separation
- Large eddy simulation of a circular jet: effect of inflow conditions on the near field
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Turbulent Flows
- Machine Learning Refined
- A Method for the Numerical Calculation of Hydrodynamic Shocks
- A method for the solution of certain non-linear problems in least squares
- A high-order cross-platform incompressible Navier-Stokes solver via artificial compressibility with application to a turbulent jet