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Godzilla is helping ITER prepare for tokamak assembly
ITER employees stand by Godzilla, the most powerful commercially available industrial robot available. (Photo: ITER)
Many people are familiar with Godzilla as a giant reptilian monster that emerged from the sea off the coast of Japan, the product of radioactive contamination. These days, there is a new Godzilla, but it has a positive—and entirely fact-based—association with nuclear energy. This one has emerged inside the Tokamak Assembly Preparation Building of ITER in southern France.
Ahmed Badruzzaman
Nuclear Science and Engineering | Volume 112 | Number 4 | December 1992 | Pages 321-335
Technical Paper | doi.org/10.13182/NSE92-A23981
Articles are hosted by Taylor and Francis Online.
A theoretical analysis is presented that assesses the accuracy of the finite moments transport method in optically thick, scattering-dominated media. Two algorithms of the method, originally developed for neutronics problems, are considered. One algorithm uses a truncated balance relation, and the other uses a nodal integral relation to close the system of generalized balance equations that arise in the method. The analysis utilizes an asymptotic expansion of the flux with respect to a small parameter, ∈, which is the ratio of the mean free path of the radiation to a typical dimension of the domain. The behavior of the algorithms is analyzed both in the interior, where the correct solution is that of a diffusion equation, and near the boundary, where the flux should decay exponentially at a rate proportional to 1/∈. Relations valid for an arbitrary number of moments, and that contain earlier results for low-order neutronics methods as special cases, are derived for slab geometry. Preliminary conclusions are also drawn on the asymptotic and boundary-layer behaviors of the two finite moments algorithms in (x-y) geometry. Similar results are discussed for the finite moments algorithms to solve the time-dependent Boltzmann equation. The finite moments nodal integral scheme appears to be vastly superior to conventional deterministic schemes and higher order truncated balance schemes in optically thick problems.