Journal
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
Volume 31, Issue 3, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218348X23500305
Keywords
Reactor Dynamics; Fractional Neutron Point Kinetic Model; Anomalous Diffusion Exponent; Conformable Derivative; Caputo Fractional Derivative; Laplace Transform Method
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Behavior analysis of the neutron point kinetic model with Caputo and conformable derivatives was conducted. Stability/instability zones within the anomalous diffusion exponent-reactivity parameter space were determined. The Almeida operator allowed for freely defining the kernel function, resulting in instabilities of different nature and stability/instability zones of varying shapes and sizes. Interestingly, the instability behavior zone with the exponential kernel could be reduced and approximated with the size predicted by the Caputo derivative.
Behavior analysis of the neutron point kinetic model with Caputo and conformable derivatives (Khalil and Almeida operators) was performed. Hence, boundary thresholds that delimit the stability/instability zones within the anomalous diffusion exponent-reactivity parameter space were found. Stability criteria are established to limit the region of the values of the anomalous diffusion coefficient and reactivity parameters with which the oscillatory behavior of the neutron density does not exceed a value greater than 30% with respect to the value of the classical model. The parameter space map corresponding to the model with Caputo derivative shows a larger stability behavior zone than that obtained with the Khalil derivative defined in terms of a linear kernel. In a more general sense, the Almeida operator allows one to freely define the kernel function. A kernel of exponential type produces instabilities of different nature (significant increase in neutron density followed by a series of decreasing oscillations few moments after the start-up, or a rapid growth in neutron density resembling a Gaussian pulse appearing seconds after the start-up), as well as stability/instability zones of different shapes and sizes as the parameters in the kernel vary. Interestingly, it was possible to reduce the instability behavior zone with the exponential kernel and approximate its size with that of the zone predicted with the Caputo derivative.
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