Detail publikace

Efficient Random Fields Simulation for Stochastic FEM Analyses

Originální název

Efficient Random Fields Simulation for Stochastic FEM Analyses

Anglický název

Efficient Random Fields Simulation for Stochastic FEM Analyses

Jazyk

en

Originální abstrakt

Simulation of random fields is the fundamental task in stochastic finite element method (SFEM). There are many techniques available nowadays, but for computationally intensive problems (typically nonlinear FEM calculations) we are constrained by small number of Monte Carlo type simulations. The paper proposes a method which combines spectral decomposition of covariance matrix and improved Latin Hypercube Sampling (LHS).

Anglický abstrakt

Simulation of random fields is the fundamental task in stochastic finite element method (SFEM). There are many techniques available nowadays, but for computationally intensive problems (typically nonlinear FEM calculations) we are constrained by small number of Monte Carlo type simulations. The paper proposes a method which combines spectral decomposition of covariance matrix and improved Latin Hypercube Sampling (LHS).

BibTex


@inproceedings{BUT13911,
  author="Miroslav {Vořechovský} and Drahomír {Novák}",
  title="Efficient Random Fields Simulation for Stochastic FEM Analyses",
  annote="Simulation of random fields is the fundamental task in stochastic finite element method (SFEM). There are many techniques available nowadays, but for computationally intensive problems (typically nonlinear FEM calculations) we are constrained by small number of Monte Carlo type simulations. The paper proposes a method which combines spectral decomposition of covariance matrix and improved Latin Hypercube Sampling (LHS).",
  address="Elsevier",
  booktitle="Second M.I.T. Conference on Computational Fluid and Solid Mechanics",
  chapter="13911",
  institution="Elsevier",
  year="2003",
  month="june",
  pages="100",
  publisher="Elsevier",
  type="conference paper"
}