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NOVÁK, L. NOVÁK, D. PUKL, R.
Original Title
Probabilistic and semi-probabilistic design of large concrete beams failing in shear
Type
conference paper
Language
English
Original Abstract
Reliability analysis of very large concrete beams is presented in the light of advanced semiprobabilistic design approaches and fully probabilistic design. Nonlinear finite element model of large concrete beam failing in shear was validated during prediction contest and utilized for advanced probabilistic analysis. The aim was to assess the variability of ultimate shear response and to present and verify alternative design procedures in comparison with fully probabilistic design. It is shown how to determine the design value of shear capacity by semi-probabilistic approaches: ECoV method, ECoV by Schlune et al. and numerical quadrature by Rosenblueth. The most advanced approach for determination of design value is fully probabilistic method using random variables and random fields (reflecting spatial variability of material parameters). It is shown that the spatial variability modelled by random fields significantly influences results.
Keywords
safety formats, semiprobablistic methods, concrete structures, probabilistic design
Authors
NOVÁK, L.; NOVÁK, D.; PUKL, R.
Released
2. 9. 2019
Publisher
Taylor and Francis Group CRC Press
Location
London
ISBN
978-1-138-38696-9
Book
Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications
Edition
1st Edition
Pages from
1339
Pages to
1344
Pages count
6
URL
https://www.taylorfrancis.com/books/9780429426506
BibTex
@inproceedings{BUT160748, author="Lukáš {Novák} and Drahomír {Novák} and Radomír {Pukl}", title="Probabilistic and semi-probabilistic design of large concrete beams failing in shear", booktitle="Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications", year="2019", series="1st Edition", pages="1339--1344", publisher="Taylor and Francis Group CRC Press", address="London", doi="10.1201/9780429426506-231", isbn="978-1-138-38696-9", url="https://www.taylorfrancis.com/books/9780429426506" }