| dc.contributor.author | Martinásková, Magdalena | |
| dc.contributor.author | Vořechovský, Miroslav | |
| dc.date.accessioned | 2018-04-24T10:15:42Z | |
| dc.date.available | 2018-04-24T10:15:42Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební. 2017, roč. 17, č. 2, s. 65-72 : il. | cs |
| dc.identifier.issn | 1213-1962 | |
| dc.identifier.uri | http://hdl.handle.net/10084/126416 | |
| dc.description.abstract | The article examines the use of Asymptotic Sampling (AS) for the estimation of failure
probability. The AS algorithm requires samples of multidimensional Gaussian random vectors, which
may be obtained by many alternative means that influence the performance of the AS method. Several
reliability problems (test functions) have been selected in order to test AS with various sampling
schemes: (i) Monte Carlo designs; (ii) LHS designs optimized using the Periodic Audze-Eglājs (PAE)
criterion; (iii) designs prepared using Sobol’ sequences. All results are compared with the exact failure
probability value. | cs |
| dc.format.extent | 535126 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
| dc.relation.ispartofseries | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební | cs |
| dc.relation.uri | https://www.degruyter.com/downloadpdf/j/tvsb.2017.17.issue-2/tvsb-2017-0029/tvsb-2017-0029.pdf | cs |
| dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
| dc.rights | © 2017 Magdalena Martinásková et al., published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0 | cs |
| dc.subject | asymptotic sampling | cs |
| dc.subject | failure probability | cs |
| dc.subject | quasi-Monte Carlo | cs |
| dc.subject | LHS designs | cs |
| dc.title | Failure probability estimation using asymptotic sampling and its dependence upon the selected sampling scheme | cs |
| dc.type | article | cs |
| dc.identifier.doi | 10.1515/tvsb-2017-0029 | |
| dc.rights.access | openAccess | cs |
| dc.type.version | publishedVersion | cs |
| dc.type.status | Peer-reviewed | cs |