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Shadid, John Nicolas

Publications and source records attributed to Shadid, John Nicolas.

Adjoint Based a posteriori Error Estimation in Drekar::CFD

This document summarizes the results from a level 3 milestone study within the CASL VUQ effort. It demonstrates the capability to perform adjoint-based a posteriori error estimation within Drekar::CFD. The a posteriori error estimates require the solution of a (linear) adjoint problem in a higher order approximation space with data chosen based on the quantity of interest. The a posteriori error estimates are verified using an analytical solution to a laminar flow problem. Finally, the framework is demonstrated on the TH-M Test Case #2 involving a 3-dimensional axisymmetric sudden expansion with a moderate Reynolds numbers ( 5000).

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