Javascript is not activated in your browser. This website needs javascript activated to work properly.
Du är här

Latin hypercube sampling for stochastic finite element analysis

Publiceringsår: 2002
Språk: Engelska
Sidor: 121-125
Publikation/Tidskrift/Serie: Journal of Engineering Mechanics
Volym: 128
Nummer: 1
Dokumenttyp: Artikel
Förlag: ASCE


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.



  • Technology and Engineering
  • stochastic processes
  • finite element method
  • sampling design


  • ISSN: 0733-9399

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen