Title

CAVITY DETECTION USING GENETIC ALGORITHM AND BOUNDARY ELEMENT METHOD IN ELASTOSTATICS PROBLEMS

Authors

Authors

D. Ojeda; E. Divo; A. Kassab;M. Cerrolaza

Comments

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Abbreviated Journal Title

Rev. Int. Metod. Numer. Calc. Dise.

Keywords

Boundary element method (BEM); cavity detection; genetic algorithm; elastostatic; OPTIMIZATION; BEM; Engineering, Multidisciplinary; Mathematics, Interdisciplinary; Applications

Abstract

A method for the efficient solution of the inverse optimization problem of cavity detection using a point load superposition technique in elastostatics boundary element methods is presented in this paper. The superposition of point load clusters to simulate the presence of cavities offers a tremendous advantage in reducing the computational tine in the elastostatics field solution with the boundary element method as no boundary re-discretization is necessary throughout the optimization process. An objective function is formulated to minimize the difference between BEM-computed and measured deformations along some of the field boundaries. A Genetic Algorithm is employed as the optimization method to guarantee a global optimal solution within the design space of a highly non-linear and multi-parameter objective function. In addition, the Genetic Algorithm is parallelized and dynamically balanced to mitigate its commonly known efficiently issues. Results of cavity detection problems simulated using numerical experiments and added random measurement errors validate the approach in regular and irregular geometrical configurations with single and multiple cavities.

Journal Title

Revista Internacional De Metodos Numericos Para Calculo Y Diseno En Ingenieria

Volume

23

Issue/Number

4

Publication Date

1-1-2007

Document Type

Article

Language

Spanish

First Page

363

Last Page

377

WOS Identifier

WOS:000261304400002

ISSN

0213-1315

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