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DOE OSTI · 1233625

Inversion for Eigenvalues and Modes Using Sierra-SD and ROL.

Abstract

In this report we formulate eigenvalue-based methods for model calibration using a PDE-constrained optimization framework. We derive the abstract optimization operators from first principles and implement these methods using Sierra-SD and the Rapid Optimization Library (ROL). To demon- strate this approach, we use experimental measurements and an inverse solution to compute the joint and elastic foam properties of a low-fidelity unit (LFU) model.

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Walsh, Timothy, Aquino, Wilkins, Ridzal, Denis, Kouri, Drew Philip. 2015-12-01. Inversion for Eigenvalues and Modes Using Sierra-SD and ROL.. https://doi.org/10.2172/1233625

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