LIU Shi, CHEN De-xiang, FENG Yong-xin, XU Zi-li, ZHENG Li-kun. A Multigrid Preconditioned Conjugate Gradient Method for Isogeometric Analysis[J]. Applied Mathematics and Mechanics, 2014, 35(6): 630-639. doi: 10.3879/j.issn.1000-0887.2014.06.005
Citation: LIU Shi, CHEN De-xiang, FENG Yong-xin, XU Zi-li, ZHENG Li-kun. A Multigrid Preconditioned Conjugate Gradient Method for Isogeometric Analysis[J]. Applied Mathematics and Mechanics, 2014, 35(6): 630-639. doi: 10.3879/j.issn.1000-0887.2014.06.005

A Multigrid Preconditioned Conjugate Gradient Method for Isogeometric Analysis

doi: 10.3879/j.issn.1000-0887.2014.06.005
Funds:  The National Basic Research Program of China (973 Program)(2011CB706505);The National Natural Science Foundation of China(51275385)
  • Received Date: 2013-12-03
  • Rev Recd Date: 2014-05-04
  • Publish Date: 2014-06-11
  • Accuracy of the isogeometric analysis can be improved through increase of the order of the NURBS basis function, but convergence of the multigrid will be slowed down at the same time. A method which combined the multigrid technique and preconditioned conjugate gradient iteration was proposed to accelerate the multigrid convergence. In the proposed method, the conjugate gradient part serves as the primary iteration, while the multigrid part serves as the preconditioner. The Poisson’s equation was solved with the multigrid method and multigrid preconditioned conjugate gradient method repectively for comparison. The results show that the multigrid preconditioned conjugate gradient method converges faster than the multigrid method especially in the cases of high-order NURBS basis functions or 3-dimensional problems.
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