The numerical simulation of fluid flow involving complex geometries is greatly limited by the required spatial grid resolution. These flows often contain small regions with complex motions, while the remaining flow is relatively smooth. Adaptive mesh refinement (AMR) enables the spatial grid to be refined in local regions that require finer grids to resolve the flow. This work describes an approach to parallelization of a structured adaptive mesh refinement (SAMR) algorithm. This type of methodology is based on locally refined grids superimposed on coarser grids to achieve the desired resolution in numerical simulations. Parallel implementations of SAMR methods offer the potential for accurate simulations of high complexity fluid fl...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
We present a patch-based direct Eulerian adaptive mesh refinement (AMR) algorithm for modeling real ...
The complexity of physical phenomena often varies substantially over space and time. There can be re...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
The main objective of this thesis is the development of an adaptive mesh refinement (AMR) algorithm ...
We present a parallel adaptive mesh refinement method with unstructured connectivity. The AMR packag...
In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of...
To be truly compatible with structured grids, an AMR algorithm should employ a block structure for t...
Over recent years, Adaptive Mesh Refinement (AMR) algorithms which dynamically match the local resol...
Block-structured adaptive mesh refinement is a technique that can be used when solving partial diffe...
University of Minnesota Ph.D. dissertation. August 2015. Major: Aerospace Engineering and Mechanics....
Over recent years, Adaptive Mesh Refinement (AMR) algorithms which dynamically match the local resol...
Dynamic Structured Adaptive Mesh Refinement (SAMR) techniques for solving partial differential equat...
Block-structured adaptive mesh refinement (AMR) is a technique that can be used when solving partial...
Structured adaptive mesh refinement (SAMR) techniques can enable cutting-edge simulations of problem...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
We present a patch-based direct Eulerian adaptive mesh refinement (AMR) algorithm for modeling real ...
The complexity of physical phenomena often varies substantially over space and time. There can be re...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
The main objective of this thesis is the development of an adaptive mesh refinement (AMR) algorithm ...
We present a parallel adaptive mesh refinement method with unstructured connectivity. The AMR packag...
In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of...
To be truly compatible with structured grids, an AMR algorithm should employ a block structure for t...
Over recent years, Adaptive Mesh Refinement (AMR) algorithms which dynamically match the local resol...
Block-structured adaptive mesh refinement is a technique that can be used when solving partial diffe...
University of Minnesota Ph.D. dissertation. August 2015. Major: Aerospace Engineering and Mechanics....
Over recent years, Adaptive Mesh Refinement (AMR) algorithms which dynamically match the local resol...
Dynamic Structured Adaptive Mesh Refinement (SAMR) techniques for solving partial differential equat...
Block-structured adaptive mesh refinement (AMR) is a technique that can be used when solving partial...
Structured adaptive mesh refinement (SAMR) techniques can enable cutting-edge simulations of problem...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
We present a patch-based direct Eulerian adaptive mesh refinement (AMR) algorithm for modeling real ...
The complexity of physical phenomena often varies substantially over space and time. There can be re...