Deep-beams with indirect support : numerical modelling and experimental assessment

• Type: Article in International Scientific Journal
• Date: 2008

Authors

Mário Jorge de Seixas Pimentel (Author) FEUP; Paulo Barreto Cachim (Author) FEUP; Joaquim de Azevedo Figueiras (Author) FEUP

Journal

Title: Computers and Concrete

Vol. 5 No. 2

Pages: 117-134

ISSN: 1598-8198

Publisher: Techno Press

Indexing

ISI Web of Science

Scopus

Scientific classification

FOS: Engineering and technology > Civil engineering

CORDIS: Technological sciences > Engineering > Civil engineering

Other information

Abstract (EN): Deep-beams are a common structural element in civil engineering structures where shear forces play a major role in the safety assessment. An experimental and numerical research was conducted to gain a deeper insight on the structural behaviour of deep-beams with indirect supports and to assess the size effects in the ultimate state behaviour. Three reduced scale specimens were tested to validate a nonlinear numerical model results and good agreement was found. Several aspects were investigated, as the reinforcement tie distribution height, and its consequences in the compression check of the support node, and the benefits of using unbonded prestressing steel. An alternative equilibrium stress path was identified for one of the models, enabling the yielding load to be attained, although the reinforcement detail clearly did not fulfil the design checks. Numerical simulations were then performed in large scale deep-beams, with dimensions similar to the ones to be adopted in a practical case, and two sources of size effects were identified. Both sources are related to the concrete quasi-brittle behaviour, and are responsible for increasing failure brittleness with increasing structural size. While the tested models failed after reinforcement yielding, the geometrically similar large scale models exhibited shear failures with reinforcement in the elastic range.

Language: English

Type (Professor's evaluation): Scientific