The core parameters are listed in Table 1.
The influences of the core size on the major core parameters, such as initial keff, steady keff, maximum power density, peak burn-up and burn-up ratio between breeding and ignition subassemblies are calculated and investigated.
As the core of estimation, parameters affect the uniform and morphology of fibers [70, 71].
The parallel core parameters are listed in Table 3.
The objective function consists of the weighted sum of core parameters such as shutdown margin and critical power ratio.
First, covariances are used to quantify the uncertainty of nuclear core parameters such as criticality, control rod worth, reaction rate ratio, power distribution, sodium void reactivity, etc.
The most important nuclear core parameters such as critical boron concentrations, isothermal temperature coefficient and rod worth are determined and compared.
The experimental data are core parameters such as control rods position, coolant inlet temperature, power level and signal of ex-core neutron detectors taken from Bushehr nuclear power plant (BNPP) for each operation state.
For example, the authors found that the laser pulse density had almost no effect on the precision of model-assisted estimators of core parameters, such as basal area, volume, and biomass.
Furthermore, optimizing the piecewise linear curve by using the grid search technique yields much higher computational burden while the proposed non-linear curve which consists of two or three core parameters such as sigmoid or raised-cosine function is better to be used for muting curve optimization.
