Detail publikace

Identification of Stochastic Interactions in Nonlinear Models of Structural Mechanics

KALA, Z.

Originální název

Identification of Stochastic Interactions in Nonlinear Models of Structural Mechanics

Anglický název

Identification of Stochastic Interactions in Nonlinear Models of Structural Mechanics

Jazyk

en

Originální abstrakt

In the paper, the polynomial approximation is presented by which the Sobol sensitivity analysis can be evaluated with all sensitivity indices. The nonlinear FEM model is approximated. The input area is mapped using simulations runs of Latin Hypercube Sampling method. The domain of the approximation polynomial is chosen so that it were possible to apply large number of simulation runs of Latin Hypercube Sampling method. The method presented also makes possible to evaluate higher-order sensitivity indices, which could not be identified in case of nonlinear FEM.

Anglický abstrakt

In the paper, the polynomial approximation is presented by which the Sobol sensitivity analysis can be evaluated with all sensitivity indices. The nonlinear FEM model is approximated. The input area is mapped using simulations runs of Latin Hypercube Sampling method. The domain of the approximation polynomial is chosen so that it were possible to apply large number of simulation runs of Latin Hypercube Sampling method. The method presented also makes possible to evaluate higher-order sensitivity indices, which could not be identified in case of nonlinear FEM.

Dokumenty

BibTex


@inproceedings{BUT145986,
  author="Zdeněk {Kala}",
  title="Identification of Stochastic Interactions in Nonlinear Models of Structural Mechanics",
  annote="In the paper, the polynomial approximation is presented by which the Sobol sensitivity analysis can be evaluated with all sensitivity indices. The nonlinear FEM model is approximated. The input area is mapped using simulations runs of Latin Hypercube Sampling method. The domain of the approximation polynomial is chosen so that it were possible to apply large number of simulation runs of Latin Hypercube Sampling method. The method presented also makes possible to evaluate higher-order sensitivity indices, which could not be identified in case of nonlinear FEM.",
  booktitle="AIP Conference Proceedings",
  chapter="145986",
  doi="10.1063/1.4992640",
  howpublished="online",
  number="1863",
  year="2017",
  month="january",
  pages="1--4",
  type="conference paper"
}