MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations

Slaughter, Andrew E.; Prince, Zachary M.; German, Péter; Halvic, Ian; Jiang, Wen; Spencer, Benjamin W.; Dhulipala, Somayajulu L. N.; Gaston, Derek

doi:10.1016/j.softx.2023.101345

Cited by 6 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, it increases the number of elements accessible to the treatment, translating the new quantitative capabilities into greater geometric complexity and higher fidelity of the simulations. Second, it enables performing high-throughput simulations [40,41] to quantify uncertainties of the results, given the inherent scatter of input parameters or material properties affected by irradiation.…”

Section: Introductionmentioning

confidence: 99%

Finite element models for radiation effects in nuclear fusion applications

Reali,

Dudarev

2024

Nucl. Fusion

View full text Add to dashboard Cite

Deuterium-tritium fusion reactions produce energy in the form of 14.1 MeV neutrons, and hence fusion reactor components will be exposed to high energy neutron irradiation while also being subjected to thermal, mechanical and magnetic loads. Exposure to neutron irradiation has numerous consequences, including swelling and dimensional changes, comparable in magnitude to the peak transient thermal deformations occurring in plasma-facing components. Irradiation also dynamically alters the various thermo-mechanical properties, relating temperature, stress and swelling in a strongly non-linear way. Experimental data on the effect of neutron exposure spanning the design parameter space are very sparse and this highlights the relevance of computer simulations. In this study we explore the equivalence between the body force/surface traction approach and the eigenstrain formalism for treating anisotropic irradiation-induced swelling. We find that both commercial and massively parallelised open source software for finite element method (FEM) simulations are suitable for assessing the effect of neutron exposure on the mechanically loaded reactor components. We demonstrate how two primary effects of irradiation, radiation swelling and the degradation of thermal conductivity, affect the distributions of stress and temperature in the divertor of the ITER tokamak. Significant uncertainties characterising the magnitude of swelling and models for treating it suggest that on the basis of the presently available data, only an order of magnitude estimate can be given to the stress developing in reactor components most exposed to irradiation during service.

show abstract

Section: Introductionmentioning

confidence: 99%

Finite element models for radiation effects in nuclear fusion applications

Reali,

Dudarev

2024

Nucl. Fusion

View full text Add to dashboard Cite

show abstract

“…These enhancements were developed on two fronts: through stochastic analysis/reduced-order model (ROM) capabilities and through inverse optimization. The first involves improvements and adding capabilities to the MOOSE stochastic tools module (STM); extensive documentation involving the STM can be found on the MOOSE website [1], some of which is presented in this report. The second involves the creation of a gradient based partial differential equation (PDE) constrained inverse optimization application named Isopod, which is a MOOSE-based application meant to be used in tandem with other MOOSE applications to perform force and material property inversion.…”

Section: Introductionmentioning

confidence: 99%

Enhanced mechanical property evaluation using innovative data analytics capability

Prince

Yushu

Munday

2021

View full text Add to dashboard Cite

This report focuses on efforts to improve Multiphysics Object-Oriented Simulation Environment (MOOSE) for mechanical property evaluation using data analytics. These efforts involve improvements to the stochastic tools module (STM) for stochastic simulations of MOOSE multiphysics model and the development of inverse optimization capabilities. The report gives an overview of the STM and describes recent updates to its core capabilities and theory on its reduced-order model (ROM) schemes. Examples are also provided showing the impact of these updates and exhibits the usefulness of ROMs. An overview of the gradient based inverse optimziation algorithms are given along with examples of their application to source identification. Inverse optimization will provide a new methodology in STM for fitting model parameters to experimental data.

show abstract