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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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 |
work_keys_str_mv |
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