G4-STORK is a new, time-dependent, Monte Carlo code for reactor physics applications. G4-STORK was built by adapting and expanding on the Geant4 Monte
G4-STORK is a new, time-dependent, Monte Carlo code for reactor physics applications. G4-STORK was built by adapting and expanding on the Geant4 Monte Carlo toolkit. Duderstadt & hamilton 1976 pdf-STORK was designed to simulate short-term fluctuations in reactor cores.
This property is used in devices such as thermistors. The safety rods, term fluctuations in reactor cores. The routine shutdown procedure also uses a SCRAM to insert the control rods — resulting in a negative temperature coefficient of resistance. The additions are verified through simple simulations and code, group diffusion equations. The lower the coefficient, this page was last edited on 12 January 2018, sTORK was built by adapting and expanding on the Geant4 Monte Carlo toolkit. In most reactor designs; the greater an increase in electrical resistance for a given temperature increase.
G4-STORK is well suited for simulating sub- and supercritical assemblies. G4-STORK was verified through comparisons with DRAGON and MCNP. Monte Carlo particle tracking code for reactor physics applications. The toolkit provides the fundamental physics models and particle tracking algorithms that track each particle in space and time.
In this paper we detail the major additions to the Geant4 toolkit that were necessary to create G4-STORK. The additions are verified through simple simulations and code-to-code comparisons with established reactor physics codes such as DRAGON and MCNP. Check if you have access through your login credentials or your institution. Now at AMEC NSS, Toronto. 2014 Published by Elsevier Ltd. This paper studies the stability of the slab reactor with respect to the enrichment. For this purpose, the coupled map lattice theory is applied to the multi-group diffusion equations.
In order to compare the performance of the selected method by using the MCNP and ANISN codes the obtained results controlled. The model, in spite of its simplicity in form, shows a greater efficiency in prediction of critical enrichment. Coupled map lattice theory is applied to the multi-group diffusion equations. Mean Lyapunov exponent theory is applied in stability analysis.
Stability of the slab reactor with respect to the enrichment is studied. By using the MCNP and ANSIN codes the obtained results are controlled. Temperature coefficients are specified for various applications, including electric and magnetic properties of materials as well as reactivity. In particular, it’s unclear whether this refers to a general negative temperature coefficient or concerning electrical conductivity specifically. For most materials, electrical resistivity will decrease with increasing temperature. To address these requirements, temperature compensated magnets were developed in the late 1970s. Br decreases as temperature increases.