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Title: A fully coupled Monte Carlo/discrete-ordinates solution to the neutron-transport equation

Miscellaneous ·
OSTI ID:5524756

The neutron transport equation is solved by a hybrid method that iteratively couples regions where deterministic (S{sub N}) and stochastic (Monte Carlo) methods are applied. Unlike previous hybrid methods, the Monte Carlo and S{sub N} regions are fully coupled in the sense that no assumption is made about geometrical separation or decoupling. The hybrid method provides a new means of solving problems involving both optically thick and optically thin regions that neither Monte Carlo nor S{sub N} is well suited for by themselves. The fully coupled Monte Carlo/S{sub N} technique consists of defining spatial and/or energy regions of a problem in which either a Monte Carlo calculation or an S{sub N} calculation is to be performed. The hybrid method has been implemented in the S{sub N} code TWODANT by adding special-purpose Monte Carlo subroutines to calculate the response matrices and volumetric sources, and linkage subroutines to carry out the interface flux iterations. The common angular boundary fluxes are included in the S{sub N} code as interior boundary sources, leaving the logic for the solution of the transport flux unchanged, while, with minor modifications, the diffusion synthetic accelerator remains effective in accelerating the S{sub N} calculations. The special-purpose Monte Carlo routines used are essentially analog, with few variance reduction techniques employed. The hybrid method is capable of solving forward, inhomogeneous source problems in X {minus} Y and R {minus} Z geometries. This capability includes multigroup problems involving upscatter and fission in non-highly multiplying (k{sub eff} {le} .8) systems. The hybrid method has been applied to several simple test problems with good results.

Research Organization:
Arizona Univ., Tucson, AZ (United States)
OSTI ID:
5524756
Resource Relation:
Other Information: Thesis (Ph.D.)
Country of Publication:
United States
Language:
English