Sequential stochastic identification of elastic constants using Lamb waves and particle filters

Journal Title: Computer Assisted Methods in Engineering and Science - Year 2014, Vol 21, Issue 1

Abstract

Sequential stochastic identification of elastic parameters of thin aluminum plates using Lamb waves is proposed. The identification process is formulated as a Bayesian state estimation problem in which the elastic constants are the unknown state variables. The comparison of a sequence of numerical and pseudo-experimental fundamental dispersion curves is used for an inverse analysis based on particle filter to obtain sequentially the elastic constants. The proposed identification procedure is illustrated by numerical experiments in which the elastic parameters of an aluminum thin plate are estimated. The results show that the proposed approach is able to identify the unknown elastic constants sequentially and that this approach can be also useful for the quantification of uncertainty with respect to the identified parameters.

Authors and Affiliations

Marek Słoński

Keywords

Related Articles

Coupling of CFD and lumped parameter codes for thermal-hydraulic simulations of reactor containment

The work deals with thermal-hydraulic analyses of a pressurized water reactor containment response to accidents caused by a rupture of primary circuit. The in-house system computer code HEPCAL-AD and CFD ANSYS Fluent hav...

Application of artificial neural network in soil parameter identification for deep excavation numerical model

In this paper, an artificial neural network (ANN) is used to approximate response of deep excavation numerical model on input parameters. The approximated model is then used in minimization procedure of the inverse probl...

MPCA for flight dynamics parameters determination

Aircraft have become increasingly costly and complex. Military and civil pilots and engineers have used flight simulators in order to increase safety of flight through the training of crew. It is necessary to calibrate t...

On improved evolutionary algorithms application to the physically based approximation of experimental data

In this paper an evolutionary algorithms (EA) application to the physically based approximation (PBA) of experimental and/or numerical data is considered. Such an approximation may simultaneously use the whole experiment...

Applying Artificial Neural Networks for analysis of geotechnical problems

The paper presents a discussion of some applications of Artificial Neural Networks (ANNs) in geoengineering using the analysis of the following six geotechnical problems, related mainly to prediction and classification p...

Download PDF file
  • EP ID EP73581
  • DOI -
  • Views 200
  • Downloads 0

How To Cite

Marek Słoński (2014). Sequential stochastic identification of elastic constants using Lamb waves and particle filters. Computer Assisted Methods in Engineering and Science, 21(1), 15-26. https://europub.co.uk/articles/-A-73581