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Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †

A diffuse and continuous monitoring of the in-service structural response of buildings can allow for the early identification of the formation of cracks and collapse mechanisms before the occurrence of severe consequences. In the case of existing masonry constructions, the implementation of tailored...

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Autores principales: Meoni, Andrea, D’Alessandro, Antonella, Saviano, Felice, Lignola, Gian Piero, Parisi, Fulvio, Ubertini, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960584/
https://www.ncbi.nlm.nih.gov/pubmed/36850809
http://dx.doi.org/10.3390/s23042211
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author Meoni, Andrea
D’Alessandro, Antonella
Saviano, Felice
Lignola, Gian Piero
Parisi, Fulvio
Ubertini, Filippo
author_facet Meoni, Andrea
D’Alessandro, Antonella
Saviano, Felice
Lignola, Gian Piero
Parisi, Fulvio
Ubertini, Filippo
author_sort Meoni, Andrea
collection PubMed
description A diffuse and continuous monitoring of the in-service structural response of buildings can allow for the early identification of the formation of cracks and collapse mechanisms before the occurrence of severe consequences. In the case of existing masonry constructions, the implementation of tailored Structural Health Monitoring (SHM) systems appears quite significant, given their well-known susceptibility to brittle failures. Recently, a new sensing technology based on smart bricks, i.e., piezoresistive brick-like sensors, was proposed in the literature for the SHM of masonry constructions. Smart bricks can be integrated within masonry to monitor strain and detect cracks. At present, the effectiveness of smart bricks has been proven in different structural settings. This paper contributes to the research by investigating the strain-sensitivity of smart bricks of standard dimensions when inserted in masonry walls subjected to in-plane shear loading. Real-scale masonry walls instrumented with smart bricks and displacement sensors were tested under diagonal compression, and numerical simulations were conducted to interpret the experimental results. At peak condition, numerical models provided comparable strain values to those of smart bricks, i.e., approximately equal to 10(−4), with similar trends. Overall, the effectiveness of smart bricks in strain monitoring and crack detection is demonstrated.
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spelling pubmed-99605842023-02-26 Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations † Meoni, Andrea D’Alessandro, Antonella Saviano, Felice Lignola, Gian Piero Parisi, Fulvio Ubertini, Filippo Sensors (Basel) Article A diffuse and continuous monitoring of the in-service structural response of buildings can allow for the early identification of the formation of cracks and collapse mechanisms before the occurrence of severe consequences. In the case of existing masonry constructions, the implementation of tailored Structural Health Monitoring (SHM) systems appears quite significant, given their well-known susceptibility to brittle failures. Recently, a new sensing technology based on smart bricks, i.e., piezoresistive brick-like sensors, was proposed in the literature for the SHM of masonry constructions. Smart bricks can be integrated within masonry to monitor strain and detect cracks. At present, the effectiveness of smart bricks has been proven in different structural settings. This paper contributes to the research by investigating the strain-sensitivity of smart bricks of standard dimensions when inserted in masonry walls subjected to in-plane shear loading. Real-scale masonry walls instrumented with smart bricks and displacement sensors were tested under diagonal compression, and numerical simulations were conducted to interpret the experimental results. At peak condition, numerical models provided comparable strain values to those of smart bricks, i.e., approximately equal to 10(−4), with similar trends. Overall, the effectiveness of smart bricks in strain monitoring and crack detection is demonstrated. MDPI 2023-02-16 /pmc/articles/PMC9960584/ /pubmed/36850809 http://dx.doi.org/10.3390/s23042211 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meoni, Andrea
D’Alessandro, Antonella
Saviano, Felice
Lignola, Gian Piero
Parisi, Fulvio
Ubertini, Filippo
Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †
title Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †
title_full Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †
title_fullStr Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †
title_full_unstemmed Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †
title_short Strain Monitoring and Crack Detection in Masonry Walls under In-Plane Shear Loading Using Smart Bricks: First Results from Experimental Tests and Numerical Simulations †
title_sort strain monitoring and crack detection in masonry walls under in-plane shear loading using smart bricks: first results from experimental tests and numerical simulations †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960584/
https://www.ncbi.nlm.nih.gov/pubmed/36850809
http://dx.doi.org/10.3390/s23042211
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