This research focuses on implementing and improving a parallel solution framework for
the linear static analysis of large structural models on PC clusters. The framework
consists of two separate programs where the first one is responsible from preparing data
for the parallel solution that involves partitioning, workload balancing, and equation
numbering. The second program is a fully parallel nite element program that utilizes
substructure based solution approach with direct solvers.
The first step of data preparation is partitioning the structure into substructures.
After creating the initial substructures, the estimated imbalance of the substructures
is adjusted by iteratively transferring nodes from the slower substructures to the faster
ones. Once the final substructures are created, the solution phase is initiated. Each
processor assembles its substructure' / s stiffness matrix and condenses it to the interfaces.
The interface equations are then solved in parallel with a block-cyclic dense
matrix solver. After computing the interface unknowns, each processor calculates the
internal displacements and element stresses or forces. Comparative tests were done to
demonstrate the performance of the solution framework.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12610763/index.pdf |
| Date | 01 July 2009 |
| Creators | Ozmen, Semih |
| Contributors | Kurc, Ozgur |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
Page generated in 0.0023 seconds