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This paper presents the resulting core model and a graph-based search algorithm.
A nonlinear core model and a flexibility controller at a random power level compose a core load following control subsystem.
The purpose is to validate our ERANOS libraries, the Monju core model and estimate the performance of the nuclear data sets.
We evaluated our approach by applying it to a core model and a domain, hence national model from the cadastral domain.
The reinforced core has been homogenized to simplify the core model and to account for the effects of pin reinforcements in the foam using a micromechanical modeling approach.
For Case 1 (Case 2), the nonlinear core model and the state feedback single-variable (multi-variable) control construct the nonlinear PWR core load following control system.
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Advancements in nuclear reactor core modeling and computational capability have encouraged further development of in-core neutron sensors.
Until now, no computational support exists for the task of verifying the conformity between such core models and their domain models.
The validation tests consist of a number of cross-checks between the Swarm core models and other auxiliary models such as the IGRF-11 (Finlay et al., 2010).
The largest differences between the independent core models and the Swarm models will be due to the uncertainties in the secular variation prediction, so data from ground-based observatories will also be used to verify the Swarm models.
Averaged over all test sets, MEDELLER produces more accurate core models and achieves a core model accuracy of 1.97 Å RMSD versus 2.57 Å for Modeller.
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