Abstract
In this work we integrate MCNP and PROTEUS, two high-fidelity reactor physics codes, into the Nuclear Energy Advanced Modeling and Simulation (NEAMS)Workbench. Specifically, we enhance the user interface of each code by developing full-featured editor services. Next, we re-define MCNP textual outputs in HDF5 formats, at great convenience to the user. Further, these HDF5 outputs are (optionally) coerced to the OpenMC format, enabling powerful and common post-processing workflows. For compatible use of MCNP and PROTEUS, we develop a model unification workflow, converting PROTEUS to MCNP-compatible meshes and generating a corresponding template MCNP deck. Finally, we investigate cooperative use of MCNP and PROTEUS for hybrid Monte Carlo and deterministic variance reduction through Consistent Adjoint-Driven Importance Sampling (CADIS), demonstrated with a fixed-source shielding problem. Ultimately, we find our integration effort dramatically streamlines pre- and post-processing with MCNP and PROTEUS and enables transformative hybrid Monte Carlo and deterministic workflows.
Highlights
The Nuclear Energy Advanced Modeling and Simulation (NEAMS) Workbench [1] seeks to empower reactor physicists with versatile, comprehensive, and intuitive interfaces to and between scientific software used to simulate nuclear reactors
We examine cooperative use, typified here by a hybrid Monte Carlo and deterministic variance reduction scheme known as Consistent Adjoint-Driven Importance Sampling (CADIS) [5]
To detail the current state of PROTEUS post-processing, we show in Figure 5 a graphical representation of the Hierarchical Data Format 5 (HDF5) output file and a pseudocolor plot of scalar neutron flux rendered by VisIt
Summary
The Nuclear Energy Advanced Modeling and Simulation (NEAMS) Workbench [1] seeks to empower reactor physicists with versatile, comprehensive, and intuitive interfaces to and between scientific software used to simulate nuclear reactors Primary among these tools are neutron transport solvers, which compute the distribution of neutron flux within a reactor, as well as the multiplication factor. We equip Workbench users with powerful neutronics solvers, enhance the productivity of MCNP6 and PROTEUS users, and facilitate novel hybrid Monte Carlo and deterministic analyses. This integration entails firstly to refactor the user interface (input specification) of both codes, for improved ease-of-use and versatility. We examine cooperative use, typified here by a hybrid Monte Carlo and deterministic variance reduction scheme known as Consistent Adjoint-Driven Importance Sampling (CADIS) [5]
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