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A Hybrid Accelerated Random Search- Centrifugal Force Algorithm for Dynamic Finite Element Model Updating

type de publication      article dans une revue internationale avec comité de lecture
date de publication 2010
auteur(s) Touat Noureddine; Rechak Said; Pyrz Marius; Cherrared Djamel
journal (abréviation) Asian Journal of Applied Sciences (AJAS)
volume (numéro) 3 (6)
pages 383 – 398
résumé An effective algorithm, which combined an adaptive centrifugal force algorithm with accelerated random search method, is proposed to update numerical models for dynamics problems. The objective is to minimize the difference between measured and simulated vibration data. The related problem is formulated as an optimization problem by considering multi-objective function defined in modal domain. A simulated beam structure is examined to test the applicability of the new approach for FE model updating applying multi-objective criteria. A real beam-like structure model is updated, making use of experimental modal data. The application of the centrifugal force algorithm enables us to obtain results well correlated with experiments in reduced time.
mots clés Centrifugai force, accelerated random search, model updating, fini te element, multi-objective optimization
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