Parallel Particle-Grid Hybrid Method for Nuclear Power System Accident Analysis

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In this paper, the numerical analysis code of particle-grid hybrid method is developed by parallel computational technology. Particle-grid hybrid method is a new method for two-phase flow problem analysis. When this method was used to study the two-phase problem in nuclear power system the calculation time was very long. Hence, the MPI (Message Passing Interface) library is chosen as the parallel environment to parallel the original serial code. The grid and particle calculation parts are paralleled, separately. Jacobi point iteration method and ADI (alternating direction implicit) combined with divide and flow line programming techniques for grid calculation are discussed. Then several cases are set for testing the parallel efficiency of different pressure correction equation solution methods. This method has been proved to be accurate and reliable compared with the results of original serial code; it can shorten the calculating time to a certain degree. And this method provides valuable references and guidelines for further improvement of hybrid method and expansion of its application fields.

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Periodical:

Advanced Materials Research (Volumes 608-609)

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839-843

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.B. Woodruff. Nucl. Eng. Des. Vol. 146 (1994), pp.463-471.

Google Scholar

[2] Celso M.F. Lapa, Paulo A.B. de Sampaio, Cláudio M.N.A. Perei. Nucl. Eng. Des. Vol. 229 (2004), pp.205-212

Google Scholar

[3] P. A.B. de Sampaio, M. A.G. Junior, C. M.F. Lapa. Nucl. Eng. Des. Vol. 238 (2008), pp.250-273.

Google Scholar

[4] Richard T. Lahey Jr. Nucl. Eng. Des. Vol. 239 (2009), pp.867-879.

Google Scholar

[5] G. Tryggvason, A. Esmaeeli, N.. Computers and Structures Vol. 83 (2005), pp.445-453.

Google Scholar

[6] G. Tryggvason, B. Bunner A. Esmaeeli. J. Comput. Phy. Vol. 169 (2001), pp.708-759.

Google Scholar

[7] Jiacai Lu, Souvik Biswas, Gretar Tryggvason. Int. J. Multi. Flow Vol. 32 (2006), pp.643-660.

Google Scholar

[8] Glen Hansen, Steve Owen. Nucl. Eng. Des. Vol. 238 (2008), pp.2590-2605.

Google Scholar

[9] Enrico Botta, Roberto Orsi. Nucl. Eng. Des. Vol. 236 (2006), pp.1558-1564.

Google Scholar

[10] Jie Liu, S. Koshizuka, Y. Oka. J. Comput. Phy. Vol.202 (2002), pp.65-93.

Google Scholar

[11] Yun Guo, Y. ISHIWATARI, S. IKEJIRI, et al.. Ann. Nucl. Energy Vol. 37 (2010), pp.230-240.

Google Scholar

[12] K. Nomura, S. Koshizuka, Y. Oka, et al.. J. Nucl. Sci. Technol. Vol. 38 (2005), pp.1057-1067.

Google Scholar