Finite Element Model Updating Using Computational 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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Marwala, Tshilidzi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Temas:
Computational intelligence.
Mechanics, Applied.
Solids.
Mathematics-Data processing.
Computer simulation.
Mathematical models.
Civil engineering.
Computational Intelligence.
Solid Mechanics.
Computational Science and Engineering.
Computer Modelling.
Mathematical Modeling and Industrial Mathematics.
Civil Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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