Characterization of fracture mode in historical masonry mortars by Acoustic Emission

Georgios Livitsanos, Naveen Shetty, Els Verstrynge, Martine Wevers, Danny Van Hemelrijck, Dimitrios Angelis

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

In this paper an experimental study conducted on Red Clay brick masonry triplets built with Cement- and Hydraulic Lime-based mortars is presented. Monitoring of fracture is conducted by Acoustic Emission (AE) and Digital Image Correlation (DIC). Representative masonry triplet elements are tested in shear for investigation of the fracture mechanisms in relation to the properties of different mortars. The results complemented by DIC, accurately showed the location of macro cracking and the developing of strain concentrations even before fracture. For complete profound understanding of individual properties, small scale experiments were also conducted on masonry components for characterization of AE signatures.
Original languageEnglish
Title of host publicationProceedings of the 2nd International RILEM/COST Conference on Early Age Cracking and Serviceability in Cement-based Materials and Structures (volume 1)
EditorsStephanie Staquet, Dimitrios Aggelis
Pages125-130
Number of pages6
Volume1
ISBN (Electronic)978-2-35158-198-8
Publication statusPublished - 2017
Event2nd International RILEM/COST Conference on Early Age Cracking and Serviceability in Cement-based Materials and Structures - Université Libre de Bruxelles - Vrije Universiteit Brussel, Brussels, Belgium
Duration: 12 Sep 201714 Sep 2017

Conference

Conference2nd International RILEM/COST Conference on Early Age Cracking and Serviceability in Cement-based Materials and Structures
Abbreviated titleEAC2
CountryBelgium
CityBrussels
Period12/09/1714/09/17

Keywords

  • Mortars, Masonry, Acoustic Emission, Digital Image Correlation

Fingerprint

Dive into the research topics of 'Characterization of fracture mode in historical masonry mortars by Acoustic Emission'. Together they form a unique fingerprint.

Cite this