dc.contributor.author | Lehký, David | |
dc.contributor.author | Šomodíková, Martina | |
dc.date.accessioned | 2018-04-24T09:44:02Z | |
dc.date.available | 2018-04-24T09:44:02Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební. 2017, roč. 17, č. 2, s. 37-42 : il. | cs |
dc.identifier.issn | 1213-1962 | |
dc.identifier.uri | http://hdl.handle.net/10084/126410 | |
dc.description.abstract | The paper introduces an inverse response surface method utilized when performing reliabilitybased
design optimization of time-consuming problems. Proposed procedure is based on a coupling
of the adaptive response surface method and the artificial neural network-based inverse reliability
method. The validity and accuracy of the method is tested using examples with explicit nonlinear
limit state functions. Obtained results as well as important aspects of the method are discussed. | cs |
dc.format.extent | 269480 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-2017-0025/tvsb-2017-0025.pdf | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.rights | © 2017 David Lehký 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 | response surface | cs |
dc.subject | artificial neural network | cs |
dc.subject | inverse reliability analysis | cs |
dc.subject | reliability-based design | cs |
dc.subject | failure probability | cs |
dc.subject | reliability index | cs |
dc.title | Inverse response surface method in reliability-based design | cs |
dc.type | article | cs |
dc.identifier.doi | 10.1515/tvsb-2017-0025 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |