2019
DOI: 10.1016/j.nucengdes.2018.11.039
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The development of a multigroup Monte Carlo code for TRIGA reactors

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Cited by 6 publications
(2 citation statements)
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“…A traditional indicator based on the information theory is borrowed to diagnose the fission source convergence, namely Shannon entropy. This indicator is widely adopted by the community in their codes [1][2][3][4][5]. On the other hand, Omar [6] formulated an indicator based on the Fourier functional expansion to deal with the convergence diagnosis, called the Fourier fundamental mode coefficient (FFMC).…”
Section: Introductionmentioning
confidence: 99%
“…A traditional indicator based on the information theory is borrowed to diagnose the fission source convergence, namely Shannon entropy. This indicator is widely adopted by the community in their codes [1][2][3][4][5]. On the other hand, Omar [6] formulated an indicator based on the Fourier functional expansion to deal with the convergence diagnosis, called the Fourier fundamental mode coefficient (FFMC).…”
Section: Introductionmentioning
confidence: 99%
“…It is important to optimize the relation between components or physical phenomena in a LWR to improve the economics and safety of nuclear reactors, deliver new nuclear reactor designs, and educate nuclear staff by simulating the physical phenomena that take place [10][11][12] including the neutronics simulated using lattice, neutron transport, and nodal codes [13][14][15][16][17][18][19], the thermal hydraulics simulated using system, nodal, subchannel and CFD codes [17][18][19][20][21][22], the thermo mechanics simulated using fuel performance codes [23][24][25], and the probability analysis simulated using risk assessment codes [26]. None of the mentioned codes provide full coupled reactor physics at the fuel pin level due to computational limitations that existed during the times when these codes were originally developed, which resulted from the geometry complexity, the large number of fuel pins, the coupled physical phenomena, and the large simulation times.…”
Section: Introductionmentioning
confidence: 99%