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General Concepts for Experimental Validation of ASCI Code Applications · Study

ReportGeneral Concepts for Experimental Validation of ASCI Code Applications

T.G. Trucano2002

OA

Reportgreen2002

General Concepts for Experimental Validation of ASCI Code Applications

T.G. Trucano · Martin M. Pilch · William L. Oberkampf

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Simulation Techniques and Applications Nuclear Engineering Thermal-Hydraulics Scientific Computing and Data Management

Abstract

This report presents general concepts in a broadly applicable methodology for validation of Accelerated Strategic Computing Initiative (ASCI) codes for Defense Programs applications at Sandia National Laboratories. The concepts are defined and analyzed within the context of their relative roles in an experimental validation process. Examples of applying the proposed methodology to three existing experimental validation activities are provided in appendices, using an appraisal technique recommended in this report.

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References

1998Verification and Validation in Computational Science and Engineering 1991Experimentation and Uncertainty Analysis for Engineers 1999Probability, reliability and statistical methods in engineering design 1988Changing Order: Replication and Induction in Scientific Practice 1958Planning of Experiments 2001Probabilistic Risk Analysis: Foundations and Methods 1999Risk Modeling, Assessment, And Management 1996Probabilistic Risk Assessment and Management for Engineers and Scientists

Cited by

2003Verification, Validation, and Predictive Capability in Computational Engineering and Physics 2009Design and analysis for the Gaussian process model 2018On the Statistical Formalism of Uncertainty Quantification 2007Validated Model? Not So Fast. The Need for Model "Conditioning" as an Essential Addendum to Model Validation 2008Multivariate approach to the thermal challenge problem 2008A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics

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2003Verification, Validation, and Predictive Capability in Computational Engineering and Physicsreport · 7 shared references 2004Verification, validation, and predictive capability in computational engineering and physicsarticle · 6 shared references 2007Validated Model? Not So Fast. The Need for Model "Conditioning" as an Essential Addendum to Model Validationother · 4 shared references 2006Measures of agreement between computation and experiment: Validation metricsarticle · 3 shared references 2010A Complete Framework for Verification, Validation, and Uncertainty Quantification in Scientific Computing (Invited)other · 3 shared references 2001Description of the Sandia Validation Metrics Projectarticle · 3 shared references

Details

Year2002

Typereport

Published2002-03-01

Languageen

Citations105

Files0 public / 0

ShelfSimulation Techniques and Applications

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doi10.2172/800777

openalex_workW1503265994

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