Detail publikace

Shear failure of very large concrete beam: Nonlinear, probabilistic and semi-probabilistic modelling

PUKL, R. ČERVENKA, V. NOVÁK, L. NOVÁK, D.

Originální název

Shear failure of very large concrete beam: Nonlinear, probabilistic and semi-probabilistic modelling

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The shear capacity of very large concrete beams was simulated using numerical analysis based on advanced nonlinear constitutive model of concrete using fracture mechanics. A very good agreement between experiments and computational modelling in the sense of load-deflection curve and crack patterns has been obtained. A study focused on shear capacity of the beam influenced by the uncertainty of material parameters and their spatial distribution using advanced probabilistic methods, namely random fields and random variables was additionally performed. The shear strength of concrete beams was significantly affected by its large size, where spatial variability of material parameters played important role. Moreover, once the statistical moments of resistance were obtained by advanced probabilistic approach, ultimate shear capacity satisfying safety requirements was determined by several semi-probabilistic and normative methods. Results from this study and consequent assessment of model uncertainty are presented and summarized

Klíčová slova

Shear failure, concrete, fracture mechanics, nonlinear finite element analysis, random fields, semi-probabilistic methods

Autoři

PUKL, R.; ČERVENKA, V.; NOVÁK, L.; NOVÁK, D.

Vydáno

10. 6. 2019

ISBN

978-981-11-2723-6

Kniha

Proceedings of the 8th International Conference on COMPUTATIONAL STOCHASTIC MECHANICS (CSM8)

Strany od

1

Strany do

12

Strany počet

12

BibTex

@inproceedings{BUT160746,
  author="Radomír {Pukl} and Vladimír {Červenka} and Lukáš {Novák} and Drahomír {Novák}",
  title="Shear failure of very large concrete beam: Nonlinear, probabilistic and semi-probabilistic modelling
",
  booktitle="Proceedings of the 8th International Conference on
COMPUTATIONAL STOCHASTIC MECHANICS (CSM8)",
  year="2019",
  pages="1--12",
  isbn="978-981-11-2723-6"
}