Titlebook: BERRU Predictive Modeling; Best Estimate Result Dan Gabriel Cacuci Book 2019 Springer-Verlag GmbH Germany, part of Springer Nature 2019 Cal

技术

Anders E. W. Jarfors,Salem Seifeddinetion to this didactical example involving the simple neutron diffusion equation, the application of the BERRU-CMS methodology to the benchmarks Godiva, Jezebel-239, and Jezebel-240 involves large-scale neutron transport computations characterized by many imprecisely-known model parameters, as follow

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ng various examples, e.g. from chemistry, geophysics, space .This book addresses the experimental calibration of best-estimate numerical simulation models. The results of measurements and computations are never exact. Therefore, knowing only the nominal values of experimentally measured or computed

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LEVER

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Berru-Cms Predictive Modeling Of Coupled Multiphysics Systems,deling of . (as opposed to “single”) multi-physics systems. The BERRU-CMS methodology is build on the same principles as the BERRU-SMS predictive modeling methodology that was presented in Chapter 1. Thus, the maximum entropy principle is used to construct an optimal approximation of the unknown a p

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Berru-Cms Predictive Modeling Of Nuclear Reactor Physics Systems,adigm neutron diffusion model of a one-dimensional pool of water containing distributed neutron sources (e.g., spent fuel rods), and continuing with the OECD/NEA (ICSBEP 2010) benchmarks Godiva (a bare uranium sphere), Jezebel-239 and Jezebel-240 (bare plutonium spheres). The paradigm neutron diffus