Improvement of variational nodal transport methods by Lagrange multiplier techniques
It has been demonstrated in earlier work that nodal transport methods can be formulated through the use of a variational form of the even-parity transport equation. The resulting methods have been used to obtain coarse-mesh solutions to two-dimensional P/sub 1/ and P/sub 3/ equations in a response matrix form. The formalism preserves neutron balance in each spatial node, while allowing the flux distribution within a node to be treated as a complete polynomial or other finite element like trial function. Subsequently, the method has been formulated as a global functional in which the odd-parity interface conditions appear as Lagrange multipliers. It is shown that the Lagrange multiplier formulation may be used to reduce the number of basis functions used to specify the interface conditions, thereby reducing the dimension of the nodal response matrices without a commensurate loss of accuracy. Specifically, by careful choice of Lagrange multiplier trial functions, one can cut the number of interface conditions by two and still obtain near P/sub 3/ accuracy. Moreover, the resulting formalism suffers neither from ray effects nor from the inaccuracies for streaming diagonal to the coordinate directions that have been observed in some nodal transport methods.
- Research Organization:
- Argonne National Lab., IL (USA)
- OSTI ID:
- 6892937
- Report Number(s):
- CONF-8711195-; TRN: 88-033057
- Journal Information:
- Trans. Am. Nucl. Soc.; (United States), Vol. 55; Conference: American Nuclear Society winter meeting, Los Angeles, CA, USA, 15 Nov 1987
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
NEUTRON TRANSPORT
LAGRANGE EQUATIONS
TWO-DIMENSIONAL CALCULATIONS
ACCURACY
FINITE ELEMENT METHOD
NEUTRON FLUX
DIFFERENTIAL EQUATIONS
EQUATIONS
NEUTRAL-PARTICLE TRANSPORT
NUMERICAL SOLUTION
PARTIAL DIFFERENTIAL EQUATIONS
RADIATION FLUX
RADIATION TRANSPORT
654003* - Radiation & Shielding Physics- Neutron Interactions with Matter