Detail publikace

Higher-order Approximations Methods for Global Sensitivity Analysis of Nonlinear Model Outputs

KALA, Z.

Originální název

Higher-order Approximations Methods for Global Sensitivity Analysis of Nonlinear Model Outputs

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

The article deals with the use of higher-order approximation polynomials and Latin Hypercube Sampling numerical simulation for the assessment of global sensitivity analysis of nonlinear model output. Highly effective computer evaluation of first and higher order sensitivity indices in non-additive systems is shown. The presented example of a non-additive system of a load-carrying structure was modelled using the nonlinear finite element method and assessed via variance-based sensitivity analysis. The presented sensitivity assessment allows exploration of all regions of the input space, accounting for interactions as well as nonlinear model responses.

Klíčová slova

Sensitivity analysis, mathematical modelling, simulation, buckling, imperfection, reliability, stochastic.

Autoři

KALA, Z.

Vydáno

15. 10. 2016

ISSN

1998-0159

Periodikum

International Journal of Mathematics and Computers in Simulation

Ročník

2016

Číslo

10

Stát

Spojené státy americké

Strany od

260

Strany do

264

Strany počet

5

BibTex

@article{BUT133162,
  author="Zdeněk {Kala}",
  title="Higher-order Approximations Methods for Global Sensitivity Analysis of Nonlinear Model Outputs",
  journal="International Journal of Mathematics and Computers in Simulation",
  year="2016",
  volume="2016",
  number="10",
  pages="260--264",
  issn="1998-0159"
}