Uniformly high order accurate essentially non-oscillatory schemes, 111
Journal of Computational Physics
Total-variation-diminishing time discretizations
SIAM Journal on Scientific and Statistical Computing
Efficient implementation of weighted ENO schemes
Journal of Computational Physics
An analysis of numerical errors in large-eddy simulations of turbulence
Journal of Computational Physics
Total variation diminishing Runge-Kutta schemes
Mathematics of Computation
On the use of shock-capturing schemes for large-eddy simulation
Journal of Computational Physics
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Large Eddy simulation of high-Reynolds-number free and wall-bounded flows
Journal of Computational Physics
Essentially Non-Oscillatory and Weighted Essentially Non-Oscillatory Schemes for Hyperbolic Conservation Laws
On the Universality of the Kolmogorov Constant in Numerical Simulations of Turbulence
On the Universality of the Kolmogorov Constant in Numerical Simulations of Turbulence
From Canonical to Complex Flows: Recent Progress on Monotonically Integrated LES
Computing in Science and Engineering
Implicit subgrid-scale modeling by adaptive deconvolution
Journal of Computational Physics
Finite-volume WENO schemes for three-dimensional conservation laws
Journal of Computational Physics
On the implicit large eddy simulations of homogeneous decaying turbulence
Journal of Computational Physics
Journal of Computational Physics
K-41 optimised approximate deconvolution models
International Journal of Computing Science and Mathematics
Journal of Computational Physics
A study of differentiation errors in large-eddy simulations based on the EDQNM theory
Journal of Computational Physics
Letter to the editor: A triple level finite element method for large eddy simulations
Journal of Computational Physics
On numerical realizability of thermal convection
Journal of Computational Physics
A conservative immersed interface method for Large-Eddy Simulation of incompressible flows
Journal of Computational Physics
Journal of Computational Physics
Scale separation for implicit large eddy simulation
Journal of Computational Physics
Subgrid modelling for particle-LES by Spectrally Optimised Interpolation (SOI)
Journal of Computational Physics
A new approach to sub-grid surface tension for LES of two-phase flows
Journal of Computational Physics
Hi-index | 31.50 |
The adaptive local deconvolution method (ALDM) is proposed as a new nonlinear discretization scheme designed for implicit large-eddy simulation (ILES) of turbulent flows. In ILES the truncation error of the discretization of the convective terms functions as a subgrid-scale model. Therefore, the model is implicitly contained within the discretization, and an explicit computation of model terms becomes unnecessary. The discretization is based on a solution-adaptive deconvolution operator which allows to control the truncation error. Deconvolution parameters are determined by an analysis of the spectral numerical viscosity. An automatic optimization based on an evolutionary algorithm is employed to obtain a set of parameters which results in an optimum spectral match for the numerical viscosity with theoretical predictions for isotropic turbulence. Simulations of large-scale forced and decaying three-dimensional homogeneous isotropic turbulence show an excellent agreement with theory and experimental data and demonstrate the good performance of the implicit model. As an example for transitional flows, instability and breakdown of the three-dimensional Taylor-Green vortex are considered. The implicit model correctly predicts instability growth and transition to developed turbulence. It is shown that the implicit model performs at least as well as established explicit models.