A parallel method to solve large eigenvalue problems using dynamic substructuring and homotopy continuation is presented. Unlike the conventional approaches in substructuring, the non-linear term is not neglected for improved accuracy. Therefore, instead of solving the approximated condensed problem
Parallel computation of meshless methods for explicit dynamic analysis
β Scribed by Kent T. Danielson; Su Hao; Wing Kam Liu; R. Aziz Uras; Shoafan Li
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 386 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0029-5981
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β¦ Synopsis
A parallel computational implementation of modern meshless methods is presented for explicit dynamic analysis. The procedures are demonstrated by application of the Reproducing Kernel Particle Method (RKPM). Aspects of a coarse grain parallel paradigm are detailed for a Lagrangian formulation using model partitioning. Integration points are uniquely de"ned on separate processors and particle de"nitions are duplicated, as necessary, so that all support particles for each point are de"ned locally on the corresponding processor. Several partitioning schemes are considered and a reduced graph-based procedure is presented. Partitioning issues are discussed and procedures to accommodate essential boundary conditions in parallel are presented. Explicit MPI message passing statements are used for all communications among partitions on di!erent processors. The e!ectiveness of the procedure is demonstrated by highly deformable inelastic example problems.
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