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

Technical Report · Tue Dec 01 04:00:00 EST 2015

DOI:https://doi.org/10.2172/1233625· OSTI ID:1233625

Walsh, Timothy ^[1]; Aquino, Wilkins ^[1]; Ridzal, Denis ^[1]; Kouri, Drew Philip ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

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.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1233625
• Report Number(s): SAND--2015-11101; 617402
• Country of Publication: United States
• Language: English

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