The paper briefly analyzes numerical problems related to the identification of the Preisach function. It will be shown how numerical instabilities encountered in the literature can be removed by means of a genetic algorithm. The proposed approach has been applied to model the behavior of many soft steels and the results show the robustness and efficiency of the algorithm
Removing numerical instabilities in the Preisach model identification using genetic algorithms / Consolo, G; Finocchio, G; Carpentieri, Mario; Azzerboni, B.. - In: PHYSICA. B, CONDENSED MATTER. - ISSN 0921-4526. - 372:1-2(2006), pp. 91-96. [10.1016/j.physb.2005.10.014]
Removing numerical instabilities in the Preisach model identification using genetic algorithms
CARPENTIERI, Mario;
2006-01-01
Abstract
The paper briefly analyzes numerical problems related to the identification of the Preisach function. It will be shown how numerical instabilities encountered in the literature can be removed by means of a genetic algorithm. The proposed approach has been applied to model the behavior of many soft steels and the results show the robustness and efficiency of the algorithmFile in questo prodotto:
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