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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
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" }