prikaz prve stranice dokumenta Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering
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Scientific paper - Original scientific paper
Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering
Applied sciences (Basel), 11(17) (2021); 8009. https://doi.org/10.3390/app11178009
Strauss, Alfred; Hauser, Michael; Täubling, Benjamin; Mandić Ivanković, Ana; Skokandić, Dominik; Matos, José; Galvão, Neryvaldo; Benko, Vladimir; Dobrý, Jakub; Wan-Wendner, Roman; Ninčević, Krešimir; Orcesi, André

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Strauss, A., Hauser, M., Täubling, B., Mandić Ivanković, A., Skokandić, D., Matos, J. ... Orcesi, A. (2021). Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering. Applied sciences (Basel), 11(17).. doi: 10.3390/app11178009

Strauss, Alfred, et al. "Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering." Applied sciences (Basel), vol. 11(17), 2021. https://doi.org/10.3390/app11178009

Strauss, Alfred, Michael Hauser, Benjamin Täubling, Ana Mandić Ivanković, Dominik Skokandić, José Matos, Neryvaldo Galvão, et al. "Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering." Applied sciences (Basel) 11(17) (2021). https://doi.org/10.3390/app11178009

Strauss, A., et al. (2021) 'Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering', Applied sciences (Basel), 11(17). doi: 10.3390/app11178009

Strauss A, Hauser M, Täubling B, Mandić Ivanković A, Skokandić D, Matos J, and sur.. Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering. Applied sciences (Basel) [Internet]. 2021 [cited 2024 October 02];11(17). doi: 10.3390/app11178009

A. Strauss, et al., "Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering", Applied sciences (Basel), vol. 11(17), 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:237:930695. [Accessed: 02 October 2024]

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Metadata
Title (english)Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering
AuthorAlfred Strauss
AuthorMichael Hauser
AuthorBenjamin Täubling
AuthorAna Mandić Ivanković
AuthorDominik Skokandić
AuthorJosé Matos
AuthorNeryvaldo Galvão
AuthorVladimir Benko
AuthorJakub Dobrý
AuthorRoman Wan-Wendner
AuthorKrešimir Ninčević
AuthorAndré Orcesi
Author's institutionUniversity of Zagreb
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Abstract (english)
The stability of slender columns is a topic that has been dealt with in research and practice for many years. The importance of this topic also increases with the possibility of using non-linear modeling approaches to determine the stability and with the increasingly complex safety formats. In order to show the complexity and the variability associated with the non-linear models, two previous contributions discussed and compared (a) the results of the Round Robin Non-Linear Modeling, and (b) the existing international associated standard specifications and safety concepts with respect to experimental results. The aim herein is to determine the reliability level (safety index) on the basis of these investigations and findings and to examine the existing safety formats of classical and extended probabilistic analyses and to derive any necessary adjustments. In addition, the method of the safety format Estimation of Coefficient of Variance of resistance (ECOV) is used for the determination of the global safety resistance factors based on the non-linear analyses’ findings of the Round Robin modeling partners.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleApplied sciences (Basel)
Numberingvol. 11(17), 8009
e-ISSN2076-3417
DOIhttps://doi.org/10.3390/app11178009
URN:NBNurn:nbn:hr:237:930695
Publication2021
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-04 18:11:48