dc.contributor.author | Králik, Juraj | |
dc.contributor.author | Králik, Juraj | |
dc.date.accessioned | 2023-04-17T09:09:47Z | |
dc.date.available | 2023-04-17T09:09:47Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební. 2022, roč. 22, č. 2, s.22-29 : il. | cs |
dc.identifier.issn | 1213-1962 | |
dc.identifier.uri | http://hdl.handle.net/10084/149273 | |
dc.description.abstract | This paper presents the results from the
deterministic and probabilistic analysis of the accidental
torsional effect on seismic resistance of the tall building.
The methodology of the seismic analysis of the structures
in Eurocode and JCSS is discussed. The possibilities of the
utilization the RSM and LHS method to analyse the
extensive and robust tasks in FEM is presented. The
influences of the local site effects – masses, stiffness, and
thickness of the layered subsoil - can significantly modify
the stresses and deflections of the structural system. The
influence of the uncertainties of the input and output
parameters is considered. The deterministic and
probability analysis of the seismic resistance of the
structure was calculated in the ANSYS program. | 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/840 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | probability | cs |
dc.subject | safety | cs |
dc.subject | seismic | cs |
dc.subject | SSI | cs |
dc.subject | building | cs |
dc.subject | ANSYS | cs |
dc.title | Probabilistic Assessment to Analyse of Soil Structure Interaction of Tall Buildings | cs |
dc.type | article | cs |
dc.identifier.doi | 10.35181/tces-2022-0010 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |