Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique

This paper applies the Acoustic Emission (AE) Technique to analyze the damage process in a one-meter span bridge model that was built from spaghetti sticks during a loading test. The AE signals are analyzed in terms of four coefficients that are evaluated as predictors of structure failure, with fre...

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Main Authors: Boris Nahuel Rojo Tanzi, Mario Sobczyk, Tiago Becker, Luis Alberto Segovia González, Sabrina Vantadori, Ignacio Iturrioz, Giuseppe Lacidogna
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/6/2718
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spelling doaj-67f99763e4a24dacb56f5359a62c22dd2021-03-19T00:01:33ZengMDPI AGApplied Sciences2076-34172021-03-01112718271810.3390/app11062718Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission TechniqueBoris Nahuel Rojo Tanzi0Mario Sobczyk1Tiago Becker2Luis Alberto Segovia González3Sabrina Vantadori4Ignacio Iturrioz5Giuseppe Lacidogna6Department of Mechanical Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre/RS 90046-902, BrazilDepartment of Mechanical Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre/RS 90046-902, BrazilDepartment of Mechanical Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre/RS 90046-902, BrazilDepartment of Civil Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre/RS 90035-190, BrazilDepartment of Engineering & Architecture, University of Parma, 43124 Parma, ItalyDepartment of Mechanical Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre/RS 90046-902, BrazilDepartment of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, ItalyThis paper applies the Acoustic Emission (AE) Technique to analyze the damage process in a one-meter span bridge model that was built from spaghetti sticks during a loading test. The AE signals are analyzed in terms of four coefficients that are evaluated as predictors of structure failure, with frequency variation appearing to be the strongest indicator of instability. The AE data are also compared to theoretical predictions that are given by the Bundle Model, confirming that underlying general patterns in damage processes are highly influenced by the geometric distribution of the structure and the loading pattern that is applied to it.https://www.mdpi.com/2076-3417/11/6/2718quasi-brittle materialsdamage processacoustic emission
collection DOAJ
language English
format Article
sources DOAJ
author Boris Nahuel Rojo Tanzi
Mario Sobczyk
Tiago Becker
Luis Alberto Segovia González
Sabrina Vantadori
Ignacio Iturrioz
Giuseppe Lacidogna
spellingShingle Boris Nahuel Rojo Tanzi
Mario Sobczyk
Tiago Becker
Luis Alberto Segovia González
Sabrina Vantadori
Ignacio Iturrioz
Giuseppe Lacidogna
Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique
Applied Sciences
quasi-brittle materials
damage process
acoustic emission
author_facet Boris Nahuel Rojo Tanzi
Mario Sobczyk
Tiago Becker
Luis Alberto Segovia González
Sabrina Vantadori
Ignacio Iturrioz
Giuseppe Lacidogna
author_sort Boris Nahuel Rojo Tanzi
title Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique
title_short Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique
title_full Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique
title_fullStr Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique
title_full_unstemmed Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique
title_sort damage evolution analysis in a “spaghetti” bridge model using the acoustic emission technique
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-03-01
description This paper applies the Acoustic Emission (AE) Technique to analyze the damage process in a one-meter span bridge model that was built from spaghetti sticks during a loading test. The AE signals are analyzed in terms of four coefficients that are evaluated as predictors of structure failure, with frequency variation appearing to be the strongest indicator of instability. The AE data are also compared to theoretical predictions that are given by the Bundle Model, confirming that underlying general patterns in damage processes are highly influenced by the geometric distribution of the structure and the loading pattern that is applied to it.
topic quasi-brittle materials
damage process
acoustic emission
url https://www.mdpi.com/2076-3417/11/6/2718
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