Higher-order approximate solutions of fractional stochastic point kinetics equations in nuclear reactor dynamics

2019 ◽  
Vol 30 (3) ◽  
Author(s):  
S. Singh ◽  
S. Saha Ray
2018 ◽  
Vol 115 ◽  
pp. 377-386 ◽  
Author(s):  
Gilberto Espinosa-Paredes ◽  
Carlos G. Aguilar-Madera

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Yasser Mohamed Hamada

A new method based on shifted Chebyshev series of the first kind is introduced to solve stiff linear/nonlinear systems of the point kinetics equations. The total time interval is divided into equal step sizes to provide approximate solutions. The approximate solutions require determination of the series coefficients at each step. These coefficients can be determined by equating the high derivatives of the Chebyshev series with those obtained by the given system. A new recurrence relation is introduced to determine the series coefficients. A special transformation is applied on the independent variable to map the classical range of the Chebyshev series from [-1,1] to [0,h]. The method deals with the Chebyshev series as a finite difference method not as a spectral method. Stability of the method is discussed and it has proved that the method has an exponential rate of convergence. The method is applied to solve different problems of the point kinetics equations including step, ramp, and sinusoidal reactivities. Also, when the reactivity is dependent on the neutron density and step insertion with Newtonian temperature feedback reactivity and thermal hydraulics feedback are tested. Comparisons with the analytical and numerical methods confirm the validity and accuracy of the method.


2021 ◽  
pp. 108833
Author(s):  
Enrico Schiassi ◽  
Mario De Florio ◽  
Barry D. Ganapol ◽  
Paolo Picca ◽  
Roberto Furfaro

2011 ◽  
Vol 38 (2-3) ◽  
pp. 307-330 ◽  
Author(s):  
Gilberto Espinosa-Paredes ◽  
Marco-A. Polo-Labarrios ◽  
Erick-G. Espinosa-Martínez ◽  
Edmundo del Valle-Gallegos

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