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A mixed BEM-FEM formulation for layered soil-superstructure interaction<br />

79<br />

structure’s flexibility based on the shell finite element composed of DKT, BATOZ<br />

(1980), and Free Formulation elements, BERGAN & FELIPPA (1985).<br />

The method of successive stiffness offers two computational advantages over<br />

the standard boundary element method by zones (subregions), namely: (1) fewer<br />

computational operations, and (2) lower storage memory requirements for equations of<br />

the final soil system. It should also be pointed out that the influences of each stratum<br />

can be computed independently, then this technique can be used for distributed<br />

memory computers with the advantage of achieving high efficiency and loading<br />

balance naturally.<br />

The results obtained show good agreement with those found in literature, and<br />

the robustness of the responses remained unaltered even when very thin soil layers<br />

were considered. The implemented model provides an efficient numerical tool for<br />

solving real problems such as the soil-structure system.<br />

8.1 Application of sparse techniques in the linear systems<br />

In the solution of the linear system generated by coupling the soil-shell-multistorey<br />

building – example 7.4 - the resulting matrix is neither symmetrical nor positively<br />

defined, but sparse with 26% of nonzero elements (see figure 10). Thus, it is<br />

imperative to use sparse techniques for the solution of the problem. In the present<br />

research three different types of methods for solving the final linear equations were<br />

used: i) the Fortran 90 code that uses IMSL routines AIRD et al. (1977); ii) the iterative<br />

method GMRES, SAAD & SCHULTZ (1986), optimized with a diagonal preconditioning<br />

(Jacobi); and iii) the Harwell sparse matrix package MA28, DUFF (1977).<br />

The first, which is based on the direct method does not take into account the<br />

sparsity pattern property of the final matrix, so it is not adequate for this problem, as<br />

can be verified from execution time in table 5.<br />

The second is the most conventional iterative method applied in solution of<br />

sparse unsymmetric linear systems. The computational cost of the method is the<br />

matrix-vector product carried out along each iteration, and the sparsity pattern<br />

generated in the final matrix is not a relevant factor for the convergence in the method.<br />

But the strong dependence of the GMRES, SAAD & SCHULTZ (1986), is due to the<br />

condition number of the matrix, and the application of BEM in elastostatic problems, in<br />

general, does not generate a well-conditioned matrix property, principally, in the zone<br />

and BEM-FEM coupling methods.<br />

In the Harwell sparse matrix package MA28, DUFF (1977), based on Gauss<br />

elimination, the data structures of the matrix is a determinant factor for a rapid<br />

execution of code, due essentially to the fill-in effect. However, the sparsity pattern<br />

generator software was not used for reducing the number of operations. Despite this,<br />

the execution time obtained by MA28, DUFF (1977), showed a good efficiency in<br />

solving problems based on the mixed BEM-FEM formulation.<br />

Cadernos de Engenharia de Estruturas, São Carlos, v.9, n. 38, p. 63-82, 2007

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