Detail publikace

A Method to Predict the Punching Shear Strength of Flat Slabs with Shear Reinforcement Using a Strut-And-Tie Model

LYČKA L. ŠTĚPÁNEK P.

Originální název

A Method to Predict the Punching Shear Strength of Flat Slabs with Shear Reinforcement Using a Strut-And-Tie Model

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

The use of flat slabs in constructions due to its many functional and economic advantages is wide-spread. Behavior of flat slabs in shear and flexure is a fairly complex problem. Therefore, the punching shear failure belongs to one of the most critical aspects in the design of concrete buildings.The purpose of this paper is to describe a framework of the proposed method for predicting the punching shear of flat slabs with shear reinforcement. Most of the current codes in force are mainly based on empirical formulation. The proposed method is based on a strut-and-tie model and therefore could be considered as an analytical approach. For the purpose of demonstrating the effectiveness of the proposed method, the method is compared with some of the main methods currently in use, such as Eurocode EC2, ACI 318 and Model Code 2010. The comparison consists of results of more than 90 experiments on flat slabs with shear reinforcement, gathered from publications from all around the world.

Klíčová slova

Punching Shear; Flat Slab; Strut-and-Tie

Autoři

LYČKA L.; ŠTĚPÁNEK P.

Vydáno

14. 6. 2017

Nakladatel

Trans Tech Publications, Switzerland

Místo

Switzerland

ISSN

1662-9795

Periodikum

Key Engineering Materials (web)

Ročník

738

Číslo

25

Stát

Švýcarská konfederace

Strany od

25

Strany do

35

Strany počet

11

BibTex

@article{BUT133613,
  author="Lukáš {Lyčka} and Petr {Štěpánek}",
  title="A Method to Predict the Punching Shear Strength of Flat Slabs with Shear Reinforcement Using a Strut-And-Tie Model",
  journal="Key Engineering Materials (web)",
  year="2017",
  volume="738",
  number="25",
  pages="25--35",
  doi="10.4028/www.scientific.net/KEM.738.25",
  issn="1662-9795"
}