Kourosh Shoele
Florida State University
ESI19 Kourosh Shoele Quadchart
Cryogenic fluids undergo complex behavior during their transportation and storage in terrestrial and microgravity conditions. We will develop a unified computational approach to model fast and complex behaviors during pressurization, transport, and mixing with computational fluid dynamics (CFD) techniques while using a multi-nodal representation for long and at-rest periods. The partitioning of the computational domain with a block-structured adaptive mesh refinement (AMR) enables efficient model/mesh refinement based on the complexity of the fluid/thermal dynamics. This computational approach will be validated and calibrated by a wide canonical/in-house experiments for cryogenic fluids and cryogenic storage systems. The model and the tools developed by this project will be integrated with NASA’s design and development software packages.