Finite-element-model Updating Using Computional Intelligence Techniques

DOI10.1007/978-1-84996-323-7zbMath1197.65066OpenAlexW2485483709MaRDI QIDQ3577124

Tshilidzi Marwala

Publication date: 4 August 2010

Full work available at URL: https://doi.org/10.1007/978-1-84996-323-7

zbMATH Keywords

monographsimulated annealinggenetic algorithmhybrid methodsparticle swarm optimizationfinite element model updatingNelder-Mead simplex methodBroyden-Fletcher-Goldfarb-Shanno methodBayesian neural networkcomputational intelligence techniquesresponse-surface method

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Numerical mathematical programming methods (65K05) Monte Carlo methods (65C05) Applications of mathematical programming (90C90) Linear programming (90C05) Stochastic programming (90C15) Combinatorial optimization (90C27) Finite element methods applied to problems in solid mechanics (74S05) Numerical analysis or methods applied to Markov chains (65C40) Research exposition (monographs, survey articles) pertaining to numerical analysis (65-02)

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Accuracy and Robustness Analysis of Geometric Finite Element Model Updating Approach for Material Parameters Identification in Transient Dynamic ⋮ Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties ⋮ Finite element model updating using Hamiltonian Monte Carlo techniques ⋮ A global-local meta-modelling technique for model updating ⋮ Parameters identification of cable stayed footbridges using Bayesian inference ⋮ A new iterative model updating technique based on least squares minimal residual method using measured modal data ⋮ Finite element model updating for structural applications ⋮ A new method of updating mass and stiffness matrices simultaneously with no spillover

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