Please use this identifier to cite or link to this item:
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1015267
Title: | Prediction of rubble-stone masonry walls response under axial compression using 2D particle modelling |
Authors: | Azevedo, N. Pinho, F. Cismasiu, I. Souza, M. |
Keywords: | Rubble-stone masonry;Particle model;Validation;Prediction;Uniaxial compression;Micro-parameters identification |
Issue Date: | Aug-2022 |
Publisher: | MDPI |
Abstract: | To predict the structural behaviour of ancient stone masonry walls is still a challenging task due to their strong heterogeneity. A rubble-stone masonry modeling methodology using a 2D particle model (2D-PM), based on the discrete element method is proposed given its ability to predict crack propagation by taking directly into account the material structure at the grain scale. Rubble-stone (ancient) masonry walls tested experimentally under uniaxial compression loading conditions are numerically evaluated. The stone masonry numerical models are generated from a close mapping process of the stone units and of the mortar surfaces. A calibration procedure for the stone-stone and mortar-mortar contacts based on experimental data is presented. The numerical studies show that the 2D-PM wall models can predict the formation and propagation of cracks, the initial stiffness and the maximum load obtained experimentally in traditional stone masonry walls. To reduce the simulation times, it is shown that the wall lateral numerical model adopting a coarser mortar discretization is a viable option for these walls. The mortar behaviour under compression with lateral confinement is identified as an important micro-parameter, that influences the peak strength and the ductility of rubble-masonry walls under uniaxial loading. |
URI: | https://repositorio.lnec.pt/jspui/handle/123456789/1015267 |
Appears in Collections: | DBB/NMMR - Comunicações a congressos e artigos de revista |
Files in This Item:
File | Description | Size | Format | |
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buildings-12-01283-v2-1.pdf | Paper | 6.51 MB | Adobe PDF | View/Open |
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