Juan C. Assis
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Juan C. Assis has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Carlos Eduardo Guex Falcão
Smart Grids Institute, Federal University of Santa Maria, Santa Maria, RS, Brazil
1 shared publication - Leonardo Santos de Brito Alves
Fluminense Federal University
1 shared publication - Mateus S. Schuabb
Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43210, USA
1 shared publication - Ricardo Dias dos Santos
PGMEC/TEM/UFF, Niterói, Brazil
1 shared publication - Rômulo Bessi Freitas
Federal Center for Technological Education Celso Suckow da Fonseca, Nova Iguaçu, RJ 26041-271, Brazil
1 shared publication
Latest Publications
- Open Access
Convergence towards High-Speed Steady States Using High-Order Accurate Shock-Capturing Schemes
Creating time-marching unsteady governing equations for a steady state in high-speed flows is not a trivial task. Residue convergence in time cannot be achieved when using most low- and high-order spatial discretization schemes. Recently, high-order, weighted, essentially non-oscillatory schemes have been specially designed for steady-state simulations. They have been shown to be capable of achieving machine precision residues when simulating the Euler equations under canonical coordinates. In the present work, we review these schemes and show that they can also achieve machine residues when simulating the Navier–Stokes equations under generalized coordinates. This is carried out by considering three supersonic flows of perfect fluids, namely the flow upstream a cylinder, the flow over a blunt wedge, and the flow over a compression ramp.
Open AccessConvergence towards High-Speed Steady States Using High-Order Accurate Shock-Capturing Schemes
Creating time-marching unsteady governing equations for a steady state in high-speed flows is not a trivial task. Residue convergence in time cannot be achieved when using most low- and high-order spatial discretization schemes. Recently, high-order, weighted, essentially non-oscillatory schemes have been specially designed for steady-state simulations. They have been shown to be capable of achieving machine precision residues when simulating the Euler equations under canonical coordinates. In the present work, we review these schemes and show that they can also achieve machine residues when simulating the Navier–Stokes equations under generalized coordinates. This is carried out by considering three supersonic flows of perfect fluids, namely the flow upstream a cylinder, the flow over a blunt wedge, and the flow over a compression ramp.