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NOVÁK, L. ČERVENKA, J. ČERVENKA, V. NOVÁK, D. SÝKORA, M.
Original Title
Comparison of advanced semi-probabilistic methods for design and assessment of concrete structures
Type
journal article in Web of Science
Language
English
Original Abstract
This paper presents the comparison of advanced semi-probabilistic methods for the design and assessment of concrete structures represented by mathematical models solved by non-linear finite element methods. The special attention is given to the advanced methods focused on the estimation of the coefficient of variation of structural resistance. Numerical examples represent a replication of laboratory experiments of beams with different failure modes. The obtained results are discussed with respect to the accuracy of the employed methods and the influence of the assumed statistical correlation among basic variables. Simplified methods give a good estimation of the design values, though their accuracy is dependent on the type of the failure mechanism. Moreover, it is shown that mutual correlations among random variables may significantly affect the design value of resistance, and they should be carefully defined and modeled.
Keywords
non-linear finite element method; reliability of concrete structures; safety formats; semi-probabilistic methods; statistical analysis; Taylor series expansion
Authors
NOVÁK, L.; ČERVENKA, J.; ČERVENKA, V.; NOVÁK, D.; SÝKORA, M.
Released
10. 8. 2022
Publisher
ERNST & SOHN
Location
BERLIN
ISBN
1751-7648
Periodical
Structural Concrete
Year of study
1
Number
4
State
Federal Republic of Germany
Pages count
17
URL
https://onlinelibrary.wiley.com/doi/10.1002/suco.202200179
BibTex
@article{BUT179287, author="Lukáš {Novák} and Jan {Červenka} and Vladimír {Červenka} and Drahomír {Novák} and Miroslav {Sýkora}", title="Comparison of advanced semi-probabilistic methods for design and assessment of concrete structures", journal="Structural Concrete", year="2022", volume="1", number="4", pages="17", doi="10.1002/suco.202200179", issn="1751-7648", url="https://onlinelibrary.wiley.com/doi/10.1002/suco.202200179" }