Loading...
Please wait, while we are loading the content...
Similar Documents
Detección de cavidades en problemas de elastostática usando algoritmos genéticos y el método de elementos de contorno
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ojeda, David Divo, Eduardo Kassab, Alain J. Rivas, Miguel Cerrolaza |
| Copyright Year | 2007 |
| Abstract | Summary A method for the e‐cient 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 ofiers a tremendous advantage in reducing the computational time in the elastostatics fleld 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 difierence between BEM-computed and measured deformations along some of the fleld 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 e‐ciently issues. Results of cavity detection problems simulated using numerical experiments and added random measurement errors validate the approach in regular and irregular geometrical conflgurations with single and multiple cavities. |
| Starting Page | 363 |
| Ending Page | 378 |
| Page Count | 16 |
| File Format | PDF HTM / HTML |
| Volume Number | 23 |
| Alternate Webpage(s) | https://upcommons.upc.edu/bitstream/handle/2099/10393/II%20-%20V23N4.pdf?isAllowed=y&sequence=1 |
| Alternate Webpage(s) | https://www.scipedia.com/wd/images/b/bb/Draft_Content_352054531RR234B.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
