5 papers
Minimum-dissipation model and symmetry-preserving discretization for scalar transport in a turbulent flow
Jing Sun, F. Xavier Trias, Roel Verstappen
This work extends the minimum-dissipation model of large-eddy simulation and symmetry-preserving discretization to account for active or passive scalar transport and complex physic…
Artificial and Eddy Viscosity in Large Eddy Simulation Part 2: Turbulence Models
Jing Sun, Roel Verstappen
This is the second part to our companion paper. The novel method to quantify artificial dissipation proposed in Part 1 is further applied in turbulent channel flow at $\mathrm{Re_τ…
Artificial and Eddy Viscosity in Large Eddy Simulation Part 1: Temporal and Spatial Schemes
Jing Sun, Roel Verstappen
We propose a novel method to quantify artificial dissipation in large eddy simulation. Here, artificial dissipation is defined as the residual of the discrete turbulent kinetic ene…
Convergence of the Deep Galerkin Method for Finite State Mean Field Control Problems
William Hofgard, Jingruo Sun, Asaf Cohen
We establish the convergence of the deep Galerkin method (DGM), a deep learning-based scheme for solving high-dimensional nonlinear PDEs, for Hamilton-Jacobi-Bellman (HJB) equation…
Minimum-dissipation model for large-eddy simulation in OpenFoam -A study on channel flow, periodic hills and flow over cylinder
Jing Sun, Roel Verstappen
The minimum-dissipation model is applied to turbulent channel flows up to , flow past a circular cylinder at , and flow over periodic hills at . Nume…