Finite-element-model updating using computional intelligence techniques : applications to structural dynamics / T. Marwala.
"FEM updating allows FEMs to be tuned better to reflect measured data. It can be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. This book applies both strategies to the field of structural mechanics, using vibration data.Computatio...
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| Format: | Ebook |
| Language: | English |
| Published: |
London ; New York :
Springer-Verlag,
[2010]
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| Online Access: | Springer eBooks |
Table of Contents:
- Introduction 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.