THE USE OF GENETIC ALGORITHMS AND STOCHASTIC HILL-CLIMBING IN DYNAMICFINITE-ELEMENT MODEL IDENTIFICATION

Authors
DUNN SA
Citation
Sa. Dunn, THE USE OF GENETIC ALGORITHMS AND STOCHASTIC HILL-CLIMBING IN DYNAMICFINITE-ELEMENT MODEL IDENTIFICATION, Computers & structures, 66(4), 1998, pp. 489-497
Citations number
9
Categorie Soggetti
Computer Science Interdisciplinary Applications","Computer Science Interdisciplinary Applications","Engineering, Civil
Journal title
Computers & structures → ACNP
ISSN journal
00457949
Volume
66
Issue
4
Year of publication
1998
Pages
489 - 497
Database
ISI
SICI code
0045-7949(1998)66:4<489:TUOGAA>2.0.ZU;2-8
Abstract
In this paper it will be demonstrated how genetic algorithms can be us ed with experimentally determined frequency response function data to identify finite element models of structures for dynamic analyses. The concepts will be demonstrated with a simple 2 d.f. simulation and a c omparison will be made with stochastic hill-climbing as an analogue to calculus-based techniques. A genetic algorithm identification is then applied to experimental data for a simple beam. Published by Elsevier Science Ltd.