Estimating Parametric, Model Form, and Solution Contributions Using Integral Validation Uncertainty Quantification Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Available Formats

Dublin Core: XML Dublin Core: JSON Dublin Core: Text Dublin Core: RDF/XML UNTL: XML Access METS: XML

Title

  • Main Title Estimating Parametric, Model Form, and Solution Contributions Using Integral Validation Uncertainty Quantification

Creator

  • Author: Logan, R W
    Creator Type: Personal
  • Author: Nitta, C K
    Creator Type: Personal
  • Author: Chidester, S K
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization

Publisher

  • Name: Lawrence Livermore National Laboratory
    Place of Publication: Livermore, California
    Additional Info: Lawrence Livermore National Laboratory (LLNL), Livermore, CA

Date

  • Creation: 2006-02-28

Language

  • English

Description

  • Content Description: One of the final steps in building a numerical model of a physical, mechanical, thermal, or chemical process, is to assess its accuracy as well as its sensitivity to input parameters and modeling technique. In this work, we demonstrate one simple process to take a top-down or integral view of the model, one which can implicitly reflect any couplings between parameters, to assess the importance of each aspect of modeling technique. We illustrate with an example of a comparison of a finite element model with data for violent reaction of explosives in accident scenarios. We show the relative importance of each of the main parametric inputs, and the contributions of model form and grid convergence. These can be directly related to the importance factors for the system being analyzed as a whole, and help determine which factors need more attention in future analyses and tests.
  • Physical Description: 12 p. (0.3 MB)

Subject

  • STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
  • Keyword: Sensitivity
  • Keyword: Simulation
  • STI Subject Categories: 42 Engineering
  • Keyword: Accidents
  • Keyword: Validation
  • Keyword: Convergence
  • Keyword: Accuracy
  • Keyword: Explosives

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Report No.: UCRL-TR-219879
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/894762
  • Office of Scientific & Technical Information Report Number: 894762
  • Archival Resource Key: ark:/67531/metadc891341

Note

  • Display Note: PDF-file: 12 pages; size: 0.3 Mbytes