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Safety assessment of punching shear failure according to the level of approximation approach

Autor(en):



Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Structural Concrete, , n. 3, v. 16
Seite(n): 366-380
DOI: 10.1002/suco.201500015
Abstrakt:

The fib Model Code for Concrete Structures 2010 introduced the concept of levels of approximation (LoA) as a strategy for simplifying the procedures involved in preliminary design stages or the design of non-critical structural elements while still providing the tools for engineers to use state-of-the-art techniques in the assessment of existing structures or in the advanced stages of design for critical structural elements. In this paper, this concept is applied to the determination of the punching shear resistance of reinforced concrete slabs. A procedure is validated for the highest LoA involving non-linear finite element analysis (NLFEA) with multi-layered shell elements and the critical shear crack theory (CSCT). The safety format proposed for use in the safety verification assisted by NLFEA is based on the definition of a global resistance safety factor. A semi-probabilistic approach is followed, based on the assumption of a lognormal distribution for the resistance and on an estimate of its coefficient of variation. This approach is validated by means of a comparison with the results from a probabilistic analysis.
The LoA approach is initially applied to the study of statically determinate slabs supported on one column to verify the effectiveness of the procedure presented here compared with other validated methods available in the literature. The paper concludes with a case study illustrating the application of the proposed procedure to a bridge deck slab and highlighting the benefits of using a higher LoA.

Stichwörter:
nichtlineare Analyse
Verfügbar bei: Siehe Verlag
Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1002/suco.201500015.
  • Über diese
    Datenseite
  • Reference-ID
    10072166
  • Veröffentlicht am:
    28.09.2015
  • Geändert am:
    29.09.2015
 
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