UNCERTAINTY IN THE DEVELOPMENT AND USE OF EQUATION OF STATE MODELS

Handle URI:
http://hdl.handle.net/10754/600125
Title:
UNCERTAINTY IN THE DEVELOPMENT AND USE OF EQUATION OF STATE MODELS
Authors:
Weirs, V. Gregory; Fabian, Nathan; Potter, Kristin; McNamara, Laura; Otahal, Thomas
Abstract:
In this paper we present the results from a series of focus groups on the visualization of uncertainty in equation-of-state (EOS) models. The initial goal was to identify the most effective ways to present EOS uncertainty to analysts, code developers, and material modelers. Four prototype visualizations were developed to present EOS surfaces in a three-dimensional, thermodynamic space. Focus group participants, primarily from Sandia National Laboratories, evaluated particular features of the various techniques for different use cases and discussed their individual workflow processes, experiences with other visualization tools, and the impact of uncertainty on their work. Related to our prototypes, we found the 3D presentations to be helpful for seeing a large amount of information at once and for a big-picture view; however, participants also desired relatively simple, two-dimensional graphics for better quantitative understanding and because these plots are part of the existing visual language for material models. In addition to feedback on the prototypes, several themes and issues emerged that are as compelling as the original goal and will eventually serve as a starting point for further development of visualization and analysis tools. In particular, a distributed workflow centered around material models was identified. Material model stakeholders contribute and extract information at different points in this workflow depending on their role, but encounter various institutional and technical barriers which restrict the flow of information. An effective software tool for this community must be cognizant of this workflow and alleviate the bottlenecks and barriers within it. Uncertainty in EOS models is defined and interpreted differently at the various stages of the workflow. In this context, uncertainty propagation is difficult to reduce to the mathematical problem of estimating the uncertainty of an output from uncertain inputs.
Citation:
Weirs VG, Fabian N, Potter K, McNamara L, Otahal T (2013) UNCERTAINTY IN THE DEVELOPMENT AND USE OF EQUATION OF STATE MODELS. International Journal for Uncertainty Quantification 3: 255–270. Available: http://dx.doi.org/10.1615/Int.J.UncertaintyQuantification.2012003960.
Publisher:
Begell House
Journal:
International Journal for Uncertainty Quantification
KAUST Grant Number:
KUS-C1-016-04
Issue Date:
2013
DOI:
10.1615/Int.J.UncertaintyQuantification.2012003960
Type:
Article
ISSN:
2152-5080
Sponsors:
The authors deeply appreciate the time and candid discussion contributed by the focus group participants. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under Contract No. DE-AC04-94AL85000. This publication is based on work supported in part by Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST) and an award from DOE NETL.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorWeirs, V. Gregoryen
dc.contributor.authorFabian, Nathanen
dc.contributor.authorPotter, Kristinen
dc.contributor.authorMcNamara, Lauraen
dc.contributor.authorOtahal, Thomasen
dc.date.accessioned2016-02-28T06:43:12Zen
dc.date.available2016-02-28T06:43:12Zen
dc.date.issued2013en
dc.identifier.citationWeirs VG, Fabian N, Potter K, McNamara L, Otahal T (2013) UNCERTAINTY IN THE DEVELOPMENT AND USE OF EQUATION OF STATE MODELS. International Journal for Uncertainty Quantification 3: 255–270. Available: http://dx.doi.org/10.1615/Int.J.UncertaintyQuantification.2012003960.en
dc.identifier.issn2152-5080en
dc.identifier.doi10.1615/Int.J.UncertaintyQuantification.2012003960en
dc.identifier.urihttp://hdl.handle.net/10754/600125en
dc.description.abstractIn this paper we present the results from a series of focus groups on the visualization of uncertainty in equation-of-state (EOS) models. The initial goal was to identify the most effective ways to present EOS uncertainty to analysts, code developers, and material modelers. Four prototype visualizations were developed to present EOS surfaces in a three-dimensional, thermodynamic space. Focus group participants, primarily from Sandia National Laboratories, evaluated particular features of the various techniques for different use cases and discussed their individual workflow processes, experiences with other visualization tools, and the impact of uncertainty on their work. Related to our prototypes, we found the 3D presentations to be helpful for seeing a large amount of information at once and for a big-picture view; however, participants also desired relatively simple, two-dimensional graphics for better quantitative understanding and because these plots are part of the existing visual language for material models. In addition to feedback on the prototypes, several themes and issues emerged that are as compelling as the original goal and will eventually serve as a starting point for further development of visualization and analysis tools. In particular, a distributed workflow centered around material models was identified. Material model stakeholders contribute and extract information at different points in this workflow depending on their role, but encounter various institutional and technical barriers which restrict the flow of information. An effective software tool for this community must be cognizant of this workflow and alleviate the bottlenecks and barriers within it. Uncertainty in EOS models is defined and interpreted differently at the various stages of the workflow. In this context, uncertainty propagation is difficult to reduce to the mathematical problem of estimating the uncertainty of an output from uncertain inputs.en
dc.description.sponsorshipThe authors deeply appreciate the time and candid discussion contributed by the focus group participants. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under Contract No. DE-AC04-94AL85000. This publication is based on work supported in part by Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST) and an award from DOE NETL.en
dc.publisherBegell Houseen
dc.titleUNCERTAINTY IN THE DEVELOPMENT AND USE OF EQUATION OF STATE MODELSen
dc.typeArticleen
dc.identifier.journalInternational Journal for Uncertainty Quantificationen
dc.contributor.institutionSandia National Laboratories, P. O. Box 5800, Albuquerque, New Mexico 87185, USAen
dc.contributor.institutionScientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, 84112, USAen
kaust.grant.numberKUS-C1-016-04en
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