Probabilistic Buckling Analysis of Thin-walled Steel Columns using Shell Finite Elements
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU119373" target="_blank" >RIV/00216305:26110/16:PU119373 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Probabilistic Buckling Analysis of Thin-walled Steel Columns using Shell Finite Elements
Original language description
The article deals with the probabilistic analysis of the reliability of a compressed steel column with hollow thin-walled rectangular cross-section. The stochastic computational model is based on the non-linear finite element method and numerical simulation Latin Hypercube Sampling method. Initial geometric imperfections were introduced according to the local and global buckling modes. Statistical analysis of the load carrying capacity was performed for four variants of wall thicknesses. The influence of the nominal thickness of the wall of the hollow rectangular cross-section on the ultimate limit state was studied.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Mechanics
ISSN
1998-4448
e-ISSN
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Volume of the periodical
2016
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
213-218
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84964033812