Characterization of the uniaxial compression behaviour of unreinforced masonry-Sensitivity analysis based on a numerical and experimental approach

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Rui Sousa (Autor) FEUP; João Guedes (Autor) FEUP; Hipólito Sousa (Autor) FEUP

Revista

Título: Archives of Civil and Mechanical Engineering

Vol. 15

Páginas: 532-547

ISSN: 1644-9665

Editora: Elsevier

Indexação

ISI Web of Knowledge - 14 Citações

Scopus - 16 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-00A-6QQ

DOI: 10.1016/j.acme.2014.06.007

Abstract (EN): Experimental testing of masonry is a difficult, expensive and time consuming process, involving the use of large facilities and a significant number of samples to achieve representative results. On the contrary, computer simulations are practical tools that avoid most of the previous disadvantages. However, such tools are based on experimental evidences and demand experimental results to be validated. These aspects motivated the development of strategies based on numerical models and experimental tests. However, numerical sensitivity analyses based on this approach to predict the behaviour of masonry are not easily found or developed. The main objective of this work is to perform a sensitivity analysis by using computer simulations of laboratory tests to predict the compressive behaviour of unreinforced concrete masonry made from materials with different mechanical properties and geometrical layouts. A three dimensional micro-modelling with continuous finite elements and an elastic plastic damage constitutive model were used to simulate the masonry behaviour. This numerical model was previously calibrated and validated through experimental data obtained from a small number of laboratory tests. The results obtained showed accuracy and a good agreement with the known aspects of the compressive behaviour of masonry, demonstrating the ability to perform numerical sensitivity analyses with few laboratory resources.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: Available online since 24 July 2014

Nº de páginas: 16