Masonry patterns' influence on the damage assessment of URM walls: current and future trends

Bibliographic Details
Main Author: Szabó, Simon
Publication Date: 2023
Other Authors: Funari, Marco Francesco, Lourenço, Paulo B.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/88704
Summary: While the influence of the component strength on the structural behaviour of Historic Masonry Structures (HMS) is relatively well studied, few studies have investigated masonry textures. Such a research gap is due to the actual difficulty of finding parameters that correlate masonry patterns and structural performances. This paper presents a comprehensive review of the existing geometric measures for irregular masonry patterns, highlighting the gaps and possible future trends. Special attention is paid to the Non-destructive Tests (NDT) for surveying masonry textures and algorithms to generate block-based numerical models artificially. Finally, a numerical investigation underlines how masonry textures generated considering quality indexes present more consistent results.
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spelling Masonry patterns' influence on the damage assessment of URM walls: current and future trendsHistoric masonryMasonry textures generationMasonry textures surveySeismic vulnerabilityWhile the influence of the component strength on the structural behaviour of Historic Masonry Structures (HMS) is relatively well studied, few studies have investigated masonry textures. Such a research gap is due to the actual difficulty of finding parameters that correlate masonry patterns and structural performances. This paper presents a comprehensive review of the existing geometric measures for irregular masonry patterns, highlighting the gaps and possible future trends. Special attention is paid to the Non-destructive Tests (NDT) for surveying masonry textures and algorithms to generate block-based numerical models artificially. Finally, a numerical investigation underlines how masonry textures generated considering quality indexes present more consistent results.This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit ISISE under reference UIDB/04029/2020. This study has been partly funded by the STAND4HERITAGE project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant agreement No. 833123), as anAdvanced Grant.ElsevierUniversidade do MinhoSzabó, SimonFunari, Marco FrancescoLourenço, Paulo B.2023-032023-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/88704eng2666-165910.1016/j.dibe.2023.100119https://www.sciencedirect.com/science/article/pii/S2666165923000017info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T03:52:25Zoai:repositorium.sdum.uminho.pt:1822/88704Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:42:28.876188Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Masonry patterns' influence on the damage assessment of URM walls: current and future trends
title Masonry patterns' influence on the damage assessment of URM walls: current and future trends
spellingShingle Masonry patterns' influence on the damage assessment of URM walls: current and future trends
Szabó, Simon
Historic masonry
Masonry textures generation
Masonry textures survey
Seismic vulnerability
title_short Masonry patterns' influence on the damage assessment of URM walls: current and future trends
title_full Masonry patterns' influence on the damage assessment of URM walls: current and future trends
title_fullStr Masonry patterns' influence on the damage assessment of URM walls: current and future trends
title_full_unstemmed Masonry patterns' influence on the damage assessment of URM walls: current and future trends
title_sort Masonry patterns' influence on the damage assessment of URM walls: current and future trends
author Szabó, Simon
author_facet Szabó, Simon
Funari, Marco Francesco
Lourenço, Paulo B.
author_role author
author2 Funari, Marco Francesco
Lourenço, Paulo B.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Szabó, Simon
Funari, Marco Francesco
Lourenço, Paulo B.
dc.subject.por.fl_str_mv Historic masonry
Masonry textures generation
Masonry textures survey
Seismic vulnerability
topic Historic masonry
Masonry textures generation
Masonry textures survey
Seismic vulnerability
description While the influence of the component strength on the structural behaviour of Historic Masonry Structures (HMS) is relatively well studied, few studies have investigated masonry textures. Such a research gap is due to the actual difficulty of finding parameters that correlate masonry patterns and structural performances. This paper presents a comprehensive review of the existing geometric measures for irregular masonry patterns, highlighting the gaps and possible future trends. Special attention is paid to the Non-destructive Tests (NDT) for surveying masonry textures and algorithms to generate block-based numerical models artificially. Finally, a numerical investigation underlines how masonry textures generated considering quality indexes present more consistent results.
publishDate 2023
dc.date.none.fl_str_mv 2023-03
2023-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/88704
url https://hdl.handle.net/1822/88704
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2666-1659
10.1016/j.dibe.2023.100119
https://www.sciencedirect.com/science/article/pii/S2666165923000017
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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