The MOOSE fluid properties module

Giudicelli, Guillaume; Green, Christopher; Hansel, Joshua; Andrs, David; Novak, April; Schunert, Sebastian; Spaude, Benjamin; Isaacs, Steven; Kunick, Matthias; Salko, Robert; Henderson, Shane; Charlot, Lise; Lindsay, Alexander

doi:10.1016/j.cpc.2024.109407

The MOOSE fluid properties module

Journal Article · Mon Oct 28 00:00:00 EDT 2024 · Computer Physics Communications

DOI:https://doi.org/10.1016/j.cpc.2024.109407· OSTI ID:2476597

^[1]; Green, Christopher ^[2]; Hansel, Joshua ^[3]; Andrs, David ^[3]; Novak, April ^[4]; Schunert, Sebastian ^[3]; Spaude, Benjamin ^[3]; Isaacs, Steven ^[3]; Kunick, Matthias ^[5]; Salko, Robert ^[6]; Henderson, Shane ^[6]; Charlot, Lise ^[3]; Lindsay, Alexander ^[3]

Idaho National Laboratory (INL), Idaho Falls, ID (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Clayton, VIC (Australia)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Univ. of Illinois at Urbana-Champaign, IL (United States)
Zittau/Goerlitz University of Applied Sciences (Germany)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

The Fluid Properties module within the Multiphysics Object-Oriented Simulation Environment (MOOSE) is used to compute fluid properties for numerous applications, ranging from nuclear reactor thermal hydraulics to geothermal energy. Those applications drove the development of the module to enable numerous different fluid equations of states, property lookups with primitive and conserved flow variable to cater to pressure and density-driven solvers, and an object-oriented design facilitating expansion and maintenance. Each fluid property is implemented in its own class but inherits capabilities such as automatic differentiation, automated out-of-bounds handling or variable conversion capabilities. Here, this paper presents the module, its design, its user and developer interface, its content in terms of fluids and properties, and several of its applications showing its major role in the MOOSE simulation ecosystem.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE), Nuclear Energy Advanced Modeling and Simulation (NEAMS); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725; AC02-06CH11357; AC07-05ID14517

OSTI ID:: 2476597

Alternate ID(s):: OSTI ID: 2476293

Journal Information:: Computer Physics Communications, Journal Name: Computer Physics Communications Vol. 307; ISSN 0010-4655

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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