Predictive modeling of coupled multi-physics systems: I. Theory

Author:

Cacuci Dan Gabriel

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference14 articles.

1. Predictive modeling of liquid-sodium thermal-hydraulics experiments and computations;Arslan;Ann. Nucl. Energy,2014

2. Badea, A.F., Cacuci, D.G., 2013. Uncertainty reduction in coupled neutron-kinetics/thermal-hydraulics computational predictions following assimilation of BWR-TT benchmark experimental data. In: The 15th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, NURETH-15, Pisa, Italy, May 12–15.

3. Best-estimate predictions and model calibration for reactor thermal-hydraulics;Badea;Nucl. Sci. Eng.,2012

4. Sensitivity theory for nonlinear systems: I. Nonlinear functional analysis approach;Cacuci;J. Math. Phys.,1981

5. Sensitivity theory for nonlinear systems: II. Extensions to additional classes of responses;Cacuci;J. Math. Phys.,1981

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