Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package

Scott, Sarah Nicole; Templeton, Jeremy Alan; Hough, Patricia Diane; Ruthruff, Joseph R.; Rosario, Michael V.; Peterson, Jerrod P.

doi:10.2495/CMEM130021

Title: Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package

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Abstract

This study details a methodology for quantification of errors and uncertainties of a finite element heat transfer model applied to a Ruggedized Instrumentation Package (RIP). The proposed verification and validation (V&V) process includes solution verification to examine errors associated with the code's solution techniques, and model validation to assess the model's predictive capability for quantities of interest. The model was subjected to mesh resolution and numerical parameters sensitivity studies to determine reasonable parameter values and to understand how they change the overall model response and performance criteria. To facilitate quantification of the uncertainty associated with the mesh, automatic meshing and mesh refining/coarsening algorithms were created and implemented on the complex geometry of the RIP. Automated software to vary model inputs was also developed to determine the solution’s sensitivity to numerical and physical parameters. The model was compared with an experiment to demonstrate its accuracy and determine the importance of both modelled and unmodelled physics in quantifying the results' uncertainty. An emphasis is placed on automating the V&V process to enable uncertainty quantification within tight development schedules.

Authors:

Scott, Sarah Nicole ^[1]; Templeton, Jeremy Alan ^[1]; Hough, Patricia Diane ^[1]; Ruthruff, Joseph R. ^[1]; Rosario, Michael V. ^[2]; Peterson, Jerrod P. ^[1]

Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sandia National Lab. (SNL-CA), Livermore, CA (United States); Duke Univ., Durham, NC (United States)

Publication Date:: Wed Jan 01 00:00:00 EST 2014

Research Org.:: Sandia National Lab. (SNL-CA), Livermore, CA (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1248825

Report Number(s):: SAND-2014-0011J
Journal ID: ISSN 1746-4064; 532911

Grant/Contract Number:: AC04-94AL85000

Resource Type:: Accepted Manuscript

Journal Name:: WIT Transactions on Modelling and Simulation

Additional Journal Information:: Journal Volume: 55; Journal ID: ISSN 1746-4064

Publisher:: WIT Press

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; uncertainty quantification; verification; validation; mess resolution; numerical parameters; heat transfer

Citation Formats


                    Scott, Sarah Nicole, Templeton, Jeremy Alan, Hough, Patricia Diane, Ruthruff, Joseph R., Rosario, Michael V., and Peterson, Jerrod P. Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package.  United States: N. p., 2014. 
Web.  doi:10.2495/CMEM130021.

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                    Scott, Sarah Nicole, Templeton, Jeremy Alan, Hough, Patricia Diane, Ruthruff, Joseph R., Rosario, Michael V., & Peterson, Jerrod P. Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package.  United States.  https://doi.org/10.2495/CMEM130021

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                    Scott, Sarah Nicole, Templeton, Jeremy Alan, Hough, Patricia Diane, Ruthruff, Joseph R., Rosario, Michael V., and Peterson, Jerrod P. Wed .  
"Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package".  United States.  https://doi.org/10.2495/CMEM130021.  https://www.osti.gov/servlets/purl/1248825.

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@article{osti_1248825,

  title        = {Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package},

  author       = {Scott, Sarah Nicole and Templeton, Jeremy Alan and Hough, Patricia Diane and Ruthruff, Joseph R. and Rosario, Michael V. and Peterson, Jerrod P.},

  abstractNote = {This study details a methodology for quantification of errors and uncertainties of a finite element heat transfer model applied to a Ruggedized Instrumentation Package (RIP). The proposed verification and validation (V&V) process includes solution verification to examine errors associated with the code's solution techniques, and model validation to assess the model's predictive capability for quantities of interest. The model was subjected to mesh resolution and numerical parameters sensitivity studies to determine reasonable parameter values and to understand how they change the overall model response and performance criteria. To facilitate quantification of the uncertainty associated with the mesh, automatic meshing and mesh refining/coarsening algorithms were created and implemented on the complex geometry of the RIP. Automated software to vary model inputs was also developed to determine the solution’s sensitivity to numerical and physical parameters. The model was compared with an experiment to demonstrate its accuracy and determine the importance of both modelled and unmodelled physics in quantifying the results' uncertainty. An emphasis is placed on automating the V&V process to enable uncertainty quantification within tight development schedules.},

  doi          = {10.2495/CMEM130021},

  journal      = {WIT Transactions on Modelling and Simulation},

  number       = ,

  volume       = 55,

  place        = {United States},

  year         = {Wed Jan 01 00:00:00 EST 2014},

  month        = {Wed Jan 01 00:00:00 EST 2014}

}

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