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dc.contributor.authorMishra
dc.contributor.authorDharmendra K.;Dolan
dc.contributor.authorKirk D.;Beck
dc.contributor.authorJames V.;Ozadali
dc.contributor.authorFerhan
dc.date.accessioned2017-12-30T11:43:52Z
dc.date.available2017-12-30T11:43:52Z
dc.date.copyright11/29/2017 12:00:00 AM
dc.date.issued2017
dc.identifier.issn2377-2158
dc.identifier.othervvuq_002_03_031005.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242924
dc.description.abstractNumerical codes are important in providing solutions to partial differential equations in many areas, such as the heat transfer problem. However, verification of these codes is critical. A methodology is presented in this work as an intrinsic verification method (IVM) to the solution to the partial differential equation. Derivation of the dimensionless form of scaled sensitivity coefficients is presented, and the sum of scaled sensitivity coefficients is used in the dimensionless form to provide a method for verification. Intrinsic verification methodology is demonstrated using examples of heat transfer problems in Cartesian and cylindrical coordinate. The IVM presented here is applicable to analytical as well as numerical solutions to partial differential equations.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleUse of Scaled Sensitivity Coefficient Relations for Intrinsic Verification of Numerical Codes and Parameter Estimation for Heat Conduction
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue3
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4038494
dc.journal.fristpage31005
dc.journal.lastpage031005-7
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2017:;volume( 002 ):;issue: 003
dc.contenttypeFulltext


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