Parallel and Distributed Computation: Numerical Methods
Parallel and Distributed Computation: Numerical Methods
Plum: parallel load balancing for unstructured adaptive meshes
Plum: parallel load balancing for unstructured adaptive meshes
Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (2nd Edition)
Computation of Mean Drag for Bluff Body Problems Using Adaptive DNS/LES
SIAM Journal on Scientific Computing
DOLFIN: Automated finite element computing
ACM Transactions on Mathematical Software (TOMS)
SIAM Journal on Scientific Computing
Hi-index | 0.00 |
The massive computational cost for resolving all turbulent scales makes a direct numerical simulation of the underlying Navier-Stokes equations impossible in most engineering applications. We present recent advances in parallel adaptive finite element methodology that enable us to efficiently compute time resolved approximations for complex geometries with error control. In this paper we present a LES simulation of turbulent flow past a full car model, where we adaptively refine the unstructured mesh to minimize the error in drag prediction. The simulation was partly carried out on the new Cray XE6 at PDC/KTH where the solver shows near optimal strong and weak scaling for the entire adaptive process.