Verification, validation, and predictive capability in computational engineering and physics.

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Description

Developers of computer codes, analysts who use the codes, and decision makers who rely on the results of the analyses face a critical question: How should confidence in modeling and simulation be critically assessed? Verification and validation (V&V) of computational simulations are the primary methods for building and quantifying this confidence. Briefly, verification is the assessment of the accuracy of the solution to a computational model. Validation is the assessment of the accuracy of a computational simulation by comparison with experimental data. In verification, the relationship of the simulation to the real world is not an issue. In validation, the ... continued below

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92 p.

Creation Information

Oberkampf, William Louis; Hirsch, Charles (Vrije Universiteit Brussel, Brussels, Belgium) & Trucano, Timothy Guy February 1, 2003.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 12 times . More information about this report can be viewed below.

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Description

Developers of computer codes, analysts who use the codes, and decision makers who rely on the results of the analyses face a critical question: How should confidence in modeling and simulation be critically assessed? Verification and validation (V&V) of computational simulations are the primary methods for building and quantifying this confidence. Briefly, verification is the assessment of the accuracy of the solution to a computational model. Validation is the assessment of the accuracy of a computational simulation by comparison with experimental data. In verification, the relationship of the simulation to the real world is not an issue. In validation, the relationship between computation and the real world, i.e., experimental data, is the issue.

Physical Description

92 p.

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  • Report No.: SAND2003-3769
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/918370 | External Link
  • Office of Scientific & Technical Information Report Number: 918370
  • Archival Resource Key: ark:/67531/metadc885833

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • February 1, 2003

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Dec. 9, 2016, 9:02 p.m.

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Oberkampf, William Louis; Hirsch, Charles (Vrije Universiteit Brussel, Brussels, Belgium) & Trucano, Timothy Guy. Verification, validation, and predictive capability in computational engineering and physics., report, February 1, 2003; United States. (digital.library.unt.edu/ark:/67531/metadc885833/: accessed June 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.