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Details of Grant 

EPSRC Reference: GR/J47088/01
Title: PARALLEL IMPLEMENTATION OF ITERATIVE SOLUTIONS FOR FE SIMULAITONS OF 3-D METAL FORMING OPERATIONS
Principal Investigator: Owen, Professor DR
Other Investigators:
Peric, Professor D
Researcher Co-Investigators:
Project Partners:
Department: Civil Engineering
Organisation: Swansea University
Scheme: Standard Research (Pre-FEC)
Starts: 03 December 1993 Ends: 02 December 1996 Value (£): 117,915
EPSRC Research Topic Classifications:
Design Engineering
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:  
Summary on Grant Application Form
The primary purpose of the proposal is to develop parallel solution procedures based on iterative techniques for large algebraic equation systems arising in the implicit based FE simulation of quasi-static 3-D sheet and bulk forming operations, which invariably involve large elasto-plastic deformations at finite strains and frictional contact behaviour. The first stage of the work would be concerned with the development of iterative solution procedures based on the conjugate gradient and GMRES approaches with various preconditioners followed by critical appraisal of their performance. In the second phase of the work domain decomposition techniques will be exploited in mixed iterative-direct solution procedures where typically a direct method will be used to solve the local problem within each subdomain, while the interface problem will be solved by a preconditioned conjugate gradient or GMRES method. In addition, a parallel version of a direct solver based on a domain decomposition procedure and a parallel Cholesky algorithm will be provided. In depth consideration will be given to implementation of the above methods in a nonlinear environment. Porting of the code to a parallel multi-processor workstation will represent the third stage of the work. It is anticipated that the equations systems arising in the FE simulation of 3-D sheet forming operations will be sufficiently well conditioned to make use of iterative solution techniques an economic proposition, particularly for large problems, leading to further substantial economies for parallel implementation. Extensive comparisons of efficiency and robustness will be made for a range practical problems.
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Organisation Website: http://www.swan.ac.uk