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Latin hypercube sampling for stochastic finite element analysis

In English

Författare

Summary, in English

A Latin hypercube sampling method, including a reduction of spurious correlation in input data, is suggested for stochastic finite element analysis. This sampling procedure strongly improves the representation of stochastic design parameters compared to a standard Monte Carlo sampling. As the correlation control requires the number of realizations to be larger than the number of stochastic variables in the problem, a principal component analysis is employed to reduce the number of stochastic variables. In many cases, this considerably relaxes the restriction on the number of realizations. The method presented offers the same general applicability as the standard Monte Carlo sampling method but is superior in computational efficiency.

Avdelning/ar

Publiceringsår

2002

Språk

Engelska

Sidor

121-125

Publikation/Tidskrift/Serie

Journal of Engineering Mechanics

Volym

128

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

American Society of Civil Engineers (ASCE)

Ämne

  • Mechanical Engineering

Nyckelord

  • stochastic processes
  • finite element method
  • sampling design

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1943-7889