Computation of two-phase flow in steam generator using Domain Decomposition and Local Zoom methods

We present flow simulations in the Steam Generator of a pressurized water nuclear reactor using Domain Decomposition Methods (DDM) and Local Zoom methods on workstation cluster. Concerning the DDM, we use a Dirichlet–Neumann approach jointly with FEM for averaged mixture balance equations. The algor...

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Bibliographic Details
Published in:Nuclear engineering and design Vol. 213; no. 2; pp. 223 - 239
Main Authors: Belliard, M., Grandotto, M.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.04.2002
Elsevier
Subjects:
Algorithms
Applied sciences
Computational methods
Computer simulation
Energy
Energy. Thermal use of fuels
Engineering Sciences
Exact sciences and technology
Finite element method
Fission nuclear power plants
Fluids mechanics
Installations for energy generation and conversion: thermal and electrical energy
Iterative methods
Mechanics
Steam generators
Two phase flow
Two phase flow
Domain decomposition
Modeling
Computing method
Steam generator
Pressurized water reactor
Nuclear reactor
Domain Decomposition Method
Zoom
Steam Generator
Local Hierarchical Multigrid
LDC Method
Two-phase Flows
ISSN:0029-5493, 1872-759X
Online Access:Get full text
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Summary:We present flow simulations in the Steam Generator of a pressurized water nuclear reactor using Domain Decomposition Methods (DDM) and Local Zoom methods on workstation cluster. Concerning the DDM, we use a Dirichlet–Neumann approach jointly with FEM for averaged mixture balance equations. The algorithm, based on parallel or sequential iteration-by-subdomain method, works with overlapping or nonoverlapping subdomains and with conforming or nonconforming meshing. With DDM, the computational problem size is easily increased to about 100,000 mesh cells and the CPU time is strongly reduced. Concerning the Local Zoom computations, the used Local Defect Correction (LDC) method, in 3D local hierarchical multigrid context, is shown. The LDC computation results are compared with the classical full domain computation results (with high or low spatial resolution). We conclude in an improvement of the accuracy on the full domain with a high coherence between the zoom and the full domain.
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ISSN:0029-5493
1872-759X
DOI:10.1016/S0029-5493(01)00509-X