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