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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2010.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.