2017
DOI: 10.2172/1372616
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Integration of Dakota into the NEAMS Workbench

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Cited by 5 publications
(6 citation statements)
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“…The MOOSE framework provides stochastic tools for MOOSE applications; as described above, these tools are available through the application's input fields in the Workbench. Prior work in the NEAMS campaign integrated the DAKOTA toolkit into the NEAMS Workbench [14]. The DAKOTA toolkit, combined with the Workbench's template-editing capability, provides a tool set that enables engineers to conduct uncertainty quantification and optimization tasks.…”
Section: Edit Acceleratorsmentioning
confidence: 99%
“…The MOOSE framework provides stochastic tools for MOOSE applications; as described above, these tools are available through the application's input fields in the Workbench. Prior work in the NEAMS campaign integrated the DAKOTA toolkit into the NEAMS Workbench [14]. The DAKOTA toolkit, combined with the Workbench's template-editing capability, provides a tool set that enables engineers to conduct uncertainty quantification and optimization tasks.…”
Section: Edit Acceleratorsmentioning
confidence: 99%
“…The ability to run part or all of a workflow on remote computing resources will be added. Finally, the NEAMS Workbench Dakota integration, which provides sensitivity analysis (SA), uncertainty quantification (UQ), and optimization capabilities [12], will be demonstrated, and any required changes will be made to facilitate streamlined user analysis of SA/UQ and optimization.…”
Section: Phase 3 -Additional Capabilities and Feedbackmentioning
confidence: 99%
“…The user input syntax provides a human-readable format that is a more flexible, less error-prone data format than the previous approach of using Microsoft Excel spreadsheets. The data are also more accessible via processing support in the Workbench Analysis Sequence Processor (WASP) [9], and with the NEAMS Workbench integration of the Dakota Uncertainty Quantification (UQ) and optimization capabilities [13], the data are more easily configured for future sensitivity and uncertainty studies. The ThermPhys input captures all data currently reported by [5] and presents it in an intuitive format, as depicted in Figure 14.…”
Section: Description Of Thermphysmentioning
confidence: 99%