Publication detail

Reliability-based Optimization: Optimizatio Strategy for Small-Sample Analysis

SLOWIK, O. NOVÁK, D.

Original Title

Reliability-based Optimization: Optimizatio Strategy for Small-Sample Analysis

Type

conference paper

Language

English

Original Abstract

The aim of the paper is to present a newly developed approach for reliability - based design optimization. It is based on double loop framework where the outer loop of algorithm covers the optimization part of process of reliability - based optmization and reliability constrains are calculated in inner loop. Innovation of suggested approach is in application of newly developed optimization strategy based on multilevel simulations using an advanced Latin Hypercube Sampling technique. This model is called Aimed multilevel sampling and it is designated for optimization of problems where only limited number of simulations is possible to perform due to enormous computational demands.

Keywords

Optimization, Reliability assessment, Aimed Multilevel Sampling, Monte Carlo, Latin Hypercube Sampling, Probability of failure, Reliability-based design optimization

Authors

SLOWIK, O.; NOVÁK, D.

RIV year

2014

Released

16. 10. 2014

Location

Bratislava, Slovenská republika

ISBN

978-80-227-4259-7

Book

New Trends in Statics and Dynamics of Buildings

Pages from

1

Pages to

7

Pages count

7

BibTex

@inproceedings{BUT113717,
  author="Ondřej {Slowik} and Drahomír {Novák}",
  title="Reliability-based Optimization: Optimizatio Strategy for Small-Sample Analysis",
  booktitle="New Trends in Statics and Dynamics of Buildings",
  year="2014",
  pages="1--7",
  address="Bratislava, Slovenská republika",
  isbn="978-80-227-4259-7"
}