The PISALE codebase contains a partial differential equation (PDE)
solver framework based on the combined methods of
ALE (Arbitrary Lagrangian Eulerian) dynamics and
structured AMR (Adaptive Mesh Refinement). The
PISALE code uses an explicit time-marching Lagrange
step to advance the flow-field through a physical
time step. The optional second phase involves a
modification of the grid and a remapping
(interpolation) of the solution to the new grid. The
solution of PDEs on modern high performance
computing (HPC) platforms is essential to the
continued success of research and modeling for a
wide variety of areas. The PISALE code name comes
from the acronym Pacific Island Structured-AMR with
ALE. (In some earlier papers, the code is called
ALE-AMR as it was one of the first codes to combine
those two methods.) There are several branches of PISALE to deal
with disparate applications.
Recent Grants / Applications of
Elements: ALE-AMR Framework and the PISALE Codebase
This project will apply the code for simulations of complex groundwater flow processes in Hawaiian islands characterized by highly heterogeneous volcanic rocks and dynamic interaction between freshwater and seawater.
This project involves further development of the PISALE Codebase for coastal aquifer management.
Find the first proceedings here. This material includes work supported by the National Science Foundation.
MURI: Faster than the speed
We use the code to study effects of rain, ice,
and aerosols on hypersonic vehicles. This is a
multi-university effort led by the University of
entitled Particulate and Precipitation Effects on High-speed Flight Vehicles.
MURI (Multidisciplinary University Research Initiative) is a basic research program sponsored by the US Department of Defense (DoD).
Published experimental and computational studies of fragmentation of solids will aid
in this new project, such as this
paper. This material includes work supported by the
Office of Naval Research.
An Extensible High Energy Density
Modeling Tool for Extreme Regimes
High Energy Density (HED) Physics implies the study of systems at very high pressures and temperatures. Material in these extreme regimes often reaches millions of atmospheres and millions of degrees. Our simulations will address a critical need to understand the interaction between HED material and surrounding liquid material for experiments at the X-ray Free Electron Laser (XFEL) located at the Stanford Linear Accelerator Center.
Surface tension plays a role in these calculations.
Models in PISALE are described in this paper.
For info on
HED. This material includes work supported
by the Department of Energy.