CCSE Research: Adaptive Mesh Refinement Applications
Adaptive Mesh Refinement is a technique for automatically refining
(or de-refining) certain regions of the physical domain in a finite
difference calculation. More detail of the AMR data structures and
methods is given here. CCSE
researchers have been involved in developing high-resolution adaptive
finite difference algorithms for a broad range of applications in
fluid mechanics, including gas dynamics, compressible and
incompressible Navier-Stokes equations, and low-speed reacting flows.
- Low Mach Number Laboratory Flames - Background
- Experimental Lean Premixed Methane Flames - Background
- Swirl Flames
- Rod-stabilized V-Flames
- Idealized turbulent flame sheets - Background
- Two-dimensional interactions
- Three-dimensional flame sheet
- 2D Vortex-flame interations - Background
- Hydrogen Flame
- Experimental Methane Flame
- Laboratory-scale Methane V-Flame
- Gravity effects in premixed flames
- Diffusion Flames
- PLIF Simulations
- Effluent NOx
- Time-dependent methane combustion
- Type Ia Supernova Nuclear Flames - Background
- Landau-Darrieus
- Rayleigh-Taylor
- Low Mach Number Modeling of Type Ia Supernovae
- Incompressible Navier-Stokes Flow - Background
- Inviscid Planar Jet
- Variable-density Shear Layer
- Compressible Navier-Stokes Flows
- Shock Diffraction over Rigid Ramps
- Adaptive Algorithm Refinement - Monte-Carlo models
- Compressible Euler Flow
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