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Finite Element Model Updating Using Computational Intelligence Techniques
ISBN-13:
9781849963237
Veröffentl:
2010
Seiten:
250
Autor:
Tshilidzi Marwala
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems. FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. Finite Element Model Updating Using Computational Intelligence Techniques applies both strategies to the field of structural mechanics, an area vital for aerospace, civil and mechanical engineering. Vibration data is used for the updating process. Following an introduction a number of computational intelligence techniques to facilitate the updating process are proposed; they include:
to Finite-element-model Updating.- Finite-element-model Updating Using Nelder-Mead Simplex and Newton Broyden-Fletcher-Goldfarb-Shanno Methods.- Finite-element-model Updating Using Genetic Algorithm.- Finite-element-model Updating Using Particle-swarm Optimization.- Finite-element-model Updating Using Simulated Annealing.- Finite-element-model Updating Using the Response-surface Method.- Finite-element-model Updating Using a Hybrid Optimization Method.- Finite-element-model Updating Using a Multi-criteria Method.- Finite-element-model Updating Using Artificial Neural Networks.- Finite-element-model Updating Using a Bayesian Approach.- Finite-element-model Updating Applied in Damage Detection.- Conclusions and Emerging State-of-the-art.
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