Publication result detail

Efficient Random Fields Simulation for Stochastic FEM Analyses

VOŘECHOVSKÝ, M., NOVÁK, D.

Original Title

Efficient Random Fields Simulation for Stochastic FEM Analyses

English Title

Efficient Random Fields Simulation for Stochastic FEM Analyses

Type

Paper in proceedings (conference paper)

Original Abstract

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).

English abstract

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).

Key words in English

Cross correlated random fields

Authors

VOŘECHOVSKÝ, M., NOVÁK, D.

RIV year

2011

Released

17.06.2003

Publisher

Elsevier

Location

Massachusetts Institute of Technology

ISBN

0-08-044046-0

Book

Second M.I.T. Conference on Computational Fluid and Solid Mechanics

Pages from

100

Pages count

6

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@inproceedings{BUT13911,
  author="Miroslav {Vořechovský} and Drahomír {Novák}",
  title="Efficient Random Fields Simulation for Stochastic FEM Analyses",
  booktitle="Second M.I.T. Conference on Computational Fluid and Solid Mechanics",
  year="2003",
  pages="6",
  publisher="Elsevier",
  address="Massachusetts Institute of Technology",
  isbn="0-08-044046-0"
}