Publication detail

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

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

Original Title

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

Type

conference paper

Language

English

Original Abstract

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

Keywords

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

Authors

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

Released

10. 6. 2019

ISBN

978-981-11-2723-6

Book

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

Pages from

1

Pages to

12

Pages count

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"
}