Publication detail

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

LYČKA L. ŠTĚPÁNEK P.

Original Title

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

Type

journal article in Scopus

Language

English

Original Abstract

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.

Keywords

Punching Shear; Flat Slab; Strut-and-Tie

Authors

LYČKA L.; ŠTĚPÁNEK P.

Released

14. 6. 2017

Publisher

Trans Tech Publications, Switzerland

Location

Switzerland

ISBN

1662-9795

Periodical

Key Engineering Materials (web)

Year of study

738

Number

25

State

Swiss Confederation

Pages from

25

Pages to

35

Pages count

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"
}