dc.contributor.author | Kubzová, Monika | |
dc.contributor.author | Křivý, Vít | |
dc.contributor.author | Krejsa, Martin | |
dc.contributor.author | Kreislová, Kateřina | |
dc.date.accessioned | 2019-03-04T12:20:47Z | |
dc.date.available | 2019-03-04T12:20:47Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební. 2018, roč. 18, č. 2, s. 15-19 : il. | cs |
dc.identifier.issn | 1213-1962 | |
dc.identifier.uri | http://hdl.handle.net/10084/134112 | |
dc.description.abstract | The article deals with the calculation
of corrosion losses of weathering steels with doseresponse
functions. The environmental parameters
of atmospheric corrosion incoming the dose-response
functions are analysed by statistic and probabilistic
methods. Between main environmental parameters belong
temperature T, concentration of sulphur dioxide, relative
air humidity RH, and deposition of chloride. Long-term
measurements of environmental characteristics
at atmospheric test sites were used for the analysis. All the
environmental parameters incoming the dose-response
functions are considered random variables represented
by corresponding histogram. Using the probabilistic
analysis it is possible to predict the expected range
of corrosion rates and to analyse the impact of particular
environmental characteristic on corrosion process. | cs |
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 | http://tces.vsb.cz/Home/ArticleDetail/456 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.subject | weathering steel | cs |
dc.subject | atmospheric corrosion | cs |
dc.subject | prediction model | cs |
dc.subject | atmospheric parameters | cs |
dc.subject | probabilistic approach | cs |
dc.title | Analysis of variable parameters of prediction models | cs |
dc.type | article | cs |
dc.identifier.doi | 10.31490/tces-2018-0010 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |