Detail publikačního výsledku

Small-sample simulation methods for statistical, sensitivity and reliability analyses

NOVÁK, D.; VOŘECHOVSKÝ, M.; RUSINA, R.

Originální název

Small-sample simulation methods for statistical, sensitivity and reliability analyses

Anglický název

Small-sample simulation methods for statistical, sensitivity and reliability analyses

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The objective of the paper is to present methods for efficient statistical, sensitivity and reliability assessment. The attention is given to the techniques which are developed for an analysis of computationally intensive problems which is typical for a nonlinear FEM analysis. The paper shows the possibility of "randomization" of computationally intensive problems in the sense of the Monte Carlo type simulation.

Anglický abstrakt

The objective of the paper is to present methods for efficient statistical, sensitivity and reliability assessment. The attention is given to the techniques which are developed for an analysis of computationally intensive problems which is typical for a nonlinear FEM analysis. The paper shows the possibility of "randomization" of computationally intensive problems in the sense of the Monte Carlo type simulation.

Klíčová slova

Software FREET, Latin Hypercube sampling, small-sample simulation

Klíčová slova v angličtině

Software FREET, Latin Hypercube sampling, small-sample simulation

Autoři

NOVÁK, D.; VOŘECHOVSKÝ, M.; RUSINA, R.

Vydáno

07.10.2005

Místo

University of Natural Resources and Applied Life Sciences, Viena Department of Structural Engineering + Natural Hazards

Kniha

Probabilistic Workshop Technical Systems Natural Hazards

Strany od

51

Strany do

60

Strany počet

10

BibTex

@inproceedings{BUT21409,
  author="Drahomír {Novák} and Miroslav {Vořechovský} and Radoslav {Rusina}",
  title="Small-sample simulation methods for statistical, sensitivity and reliability analyses",
  booktitle="Probabilistic Workshop Technical Systems Natural Hazards",
  year="2005",
  pages="51--60",
  address="University of Natural Resources and Applied Life Sciences, Viena
Department of Structural Engineering + Natural Hazards"
}