University of Hawai‘i

PISALE Code Lab

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 PISALE

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 of sound
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 Minnesota 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).
X-43 NASA

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
Modeling the Interaction of Laser-Produced Proton Beams with Matter
High Energy Density (HED) Physics implies the study of systems at very high pressures and temperatures. Our simulations address a critical need to understand the interaction between HED material headed by an X-ray Free Electron Laser (XFEL) beam and the surrounding liquid material. We also model the interaction of laser-produced protons with matter that is probed with the same XFEL beam located at the Stanford Linear Accelerator Center.