Detail publikace

Strong and Weak Interactions in Stochastic Systems of Nonlinear Mechanics

KALA, Z.

Originální název

Strong and Weak Interactions in Stochastic Systems of Nonlinear Mechanics

Anglický název

Strong and Weak Interactions in Stochastic Systems of Nonlinear Mechanics

Jazyk

en

Originální abstrakt

Sensitivity Analysis is crucial both in the modelling phase and in the interpretation of model results. In order to reduce computational costs in structural global sensitivity analysis, it has been suggested to utilize approximate response functions for sensitivity assessment. In the present paper, the approximation of nonlinear finite element model is presented by the polynomial function which conserves all higher order interactions among input quantities and the output of the model. The application of response functions for global sensitivity assessment is demonstrated on the analysis of output of the nonlinear simulation model of structural mechanics.

Anglický abstrakt

Sensitivity Analysis is crucial both in the modelling phase and in the interpretation of model results. In order to reduce computational costs in structural global sensitivity analysis, it has been suggested to utilize approximate response functions for sensitivity assessment. In the present paper, the approximation of nonlinear finite element model is presented by the polynomial function which conserves all higher order interactions among input quantities and the output of the model. The application of response functions for global sensitivity assessment is demonstrated on the analysis of output of the nonlinear simulation model of structural mechanics.

Dokumenty

BibTex


@article{BUT128811,
  author="Zdeněk {Kala}",
  title="Strong and Weak Interactions in Stochastic Systems of Nonlinear Mechanics",
  annote="Sensitivity Analysis is crucial both in the modelling phase and in the interpretation of model results. In order to reduce computational costs in structural global sensitivity analysis, it has been suggested to utilize approximate response functions for sensitivity assessment. In the present paper, the approximation of nonlinear finite element model is presented by the polynomial function which conserves all higher order interactions among input quantities and the output of the model. The application of response functions for global sensitivity assessment is demonstrated on the analysis of output of the nonlinear simulation model of structural mechanics.",
  chapter="128811",
  howpublished="online",
  number="1",
  volume="2016",
  year="2016",
  month="june",
  pages="108--111",
  type="journal article - other"
}