Computational Solution Verification Applied To
A Thermal Model Of A Ruggedized
Instrumentation Package
Author(s)
S. N. Scott, J. A. Templeton, J. R. Ruthruff, P. D. Hough
& J. P. Peterson
Abstract
This paper 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 process includes solution verification,
which examines the errors associated with the code’s solution techniques. 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. Similarly, highly automated software to vary
model inputs was also developed for the purpose of assessing the solution’s
sensitivity to numerical parameters. The model was subjected to mesh resolution
and numerical parameters sensitivity studies. This process not only tests the
robustness of the numerical parameters, but also allows for the optimization of
robustness and numerical error with computation time. Agglomeration of these
studies provides a bound for the uncertainty due to numerical error for the
model. An emphasis is placed on the automation of solution verification to allow
a rigorous look at uncertainty to be performed even within a tight design and
development schedule.
Keywords: uncertainty quantification, verification, mesh resolution, numerical
parameters.
Keywords
Keywords: uncertainty quantification, verification, mesh resolution, numerical
parameters.
Related Book
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