Publication result detail

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

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

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

Software FREET, Latin Hypercube sampling, small-sample simulation

Key words in English

Software FREET, Latin Hypercube sampling, small-sample simulation

Authors

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

Released

07.10.2005

Location

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

Book

Probabilistic Workshop Technical Systems Natural Hazards

Pages from

51

Pages to

60

Pages count

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"
}