Water Science and Engineering 2011, 4(3) 317-328 DOI:   10.3882/j.issn.1674-2370.2011.03.008  ISSN: 1674-2370 CN: 32-1785/TV

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Keywords
massive concrete
 symmetric successive over relaxation-preconditioned conjugate gradient method (SSOR-PCGM)
 improved iteration format
finite element method (FEM)
numerical simulation
Authors
HAN Lin
ZHANG Zi-Meng
NIE Zhi-Jiang
PubMed
Article by Han,l
Article by Zhang,Z.M
Article by Nie,Z.J

Application of SSOR-PCG method with improved iteration format in FEM simulation of massive concrete

Lin HAN*, Zi-ming ZHANG, Zhi-qiang NI

College of Mechanics and Materials, Hohai University, Nanjing 210098, P. R. China

Abstract

 In this study, for the purpose of improving the efficiency and accuracy of numerical simulation of massive concrete, the symmetric successive over relaxation-preconditioned conjugate gradient method (SSOR-PCGM) with an improved iteration format was derived and applied to solution of large sparse symmetric positive definite linear equations in the computational process of the finite element analysis. A three-dimensional simulation program for massive concrete was developed based on SSOR-PCGM with an improved iteration format. Then, the programs based on the direct method and SSOR-PCGM with an improved iteration format were used for computation of the Guandi roller compacted concrete (RCC) gravity dam and an elastic cube under free expansion. The comparison and analysis of the computational results show that SSOR-PCGM with the improved iteration format occupies much less physical memory and can solve larger-scale problems with much less computing time and flexible control of accuracy.

Keywords massive concrete     symmetric successive over relaxation-preconditioned conjugate gradient method (SSOR-PCGM)     improved iteration format   finite element method (FEM)    numerical simulation  
Received 2010-10-15 Revised 2011-01-17 Online: 2011-09-30 
DOI: 10.3882/j.issn.1674-2370.2011.03.008
Fund:

This work was supported by the National Natural Science Foundation of China (Grant No. 50808066).

Corresponding Authors: Lin HAN
Email: lion_han@hhu.edu.cn
About author:

References:

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