Finite-element-model Updating Using Computional Intelligence Techniques : Applications to Structural Dynamics
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 E...
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| Hovedforfatter: | |
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| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Finite-element-model Updating Using Computional Intelligence Techniques, Texte imprimé, 9781849963220 |
Indholdsfortegnelse:
- 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