L 1,ρ error norm for density in all cases.

L 1,ρ error norm for density in all cases.

Source publication
Preprint
Full-text available
This work presents a comprehensive framework for the efficient implementation of finite-volume-based reacting flow solvers, specifically tailored for high speed propulsion applications. Using the exascale computing project (ECP) based AMReX framework, a compressible flow solver for handling high-speed reacting flows is developed. This work is compl...

Contexts in source publication

Context 1
... cases with refinement levels are interpolated onto the corresponding level 0 grid size in order to compute the error in relation to the exact solution. Figure 4 shows the convergence rates for the L 1,ρ error norm for density in all cases. Interestingly, the cases with up to 1 AMR level are no more accurate than the cases with 0 AMR levels, as in Fig.4. ...
Context 2
... 4 shows the convergence rates for the L 1,ρ error norm for density in all cases. Interestingly, the cases with up to 1 AMR level are no more accurate than the cases with 0 AMR levels, as in Fig.4. This demonstrates the challenge of selecting grid and refinement settings which contribute to a more accurate solution. ...

Similar publications

Article
Full-text available
The lattice Boltzmann method (LBM) for compressible flow is characterized by high computational efficiency and low dissipation, while the conventional finite volume solvers have intrinsic conservation and flexibility in using un-structured meshes for complex geometries. This paper proposes a strategy to combine the advantages of the two kinds of so...