The acousticemission(AE)isapowerfulandpotentialnondestructivetestingmethodfor structuralmonitoringincivilengineering.Here,weshowhowsystematicinvestigationof crack phenomenabasedonAEdatacanbesignificantly improvedbytheuseofadvanced signalprocessingtechniques.Suchdataareafundamentalsourceofinformationthatcan be usedasthebasisforevaluatingthestatusofthematerial,therebypavingthewayfora new frontierofinnovationmadebydata-enabledanalytics.Inthisarticle,weproposea frameworkbasedontheHilbert–Huang Transformfortheevaluationofmaterialdamages that (i)facilitatesthesystematicemploymentofbothestablishedandpromisinganalysis criteria, and(ii)providesunsupervisedtoolstoachieveanaccurateclassificationofthe fracture type,thediscriminationbetweenlongitudinal(P-) andtraversal(S-) waves relatedtoanAEevent.Theexperimentalvalidationshowspromisingresultsforareliable assessmentofthehealthstatusthroughthemonitoringofcivilinfrastructures.

A framework for the damage evaluation of acoustic emission signals through Hilbert-Huang transform

SIRACUSANO, GIULIO
Primo
;
GARESCI', Francesca;FINOCCHIO, Giovanni
Ultimo
2016-01-01

Abstract

The acousticemission(AE)isapowerfulandpotentialnondestructivetestingmethodfor structuralmonitoringincivilengineering.Here,weshowhowsystematicinvestigationof crack phenomenabasedonAEdatacanbesignificantly improvedbytheuseofadvanced signalprocessingtechniques.Suchdataareafundamentalsourceofinformationthatcan be usedasthebasisforevaluatingthestatusofthematerial,therebypavingthewayfora new frontierofinnovationmadebydata-enabledanalytics.Inthisarticle,weproposea frameworkbasedontheHilbert–Huang Transformfortheevaluationofmaterialdamages that (i)facilitatesthesystematicemploymentofbothestablishedandpromisinganalysis criteria, and(ii)providesunsupervisedtoolstoachieveanaccurateclassificationofthe fracture type,thediscriminationbetweenlongitudinal(P-) andtraversal(S-) waves relatedtoanAEevent.Theexperimentalvalidationshowspromisingresultsforareliable assessmentofthehealthstatusthroughthemonitoringofcivilinfrastructures.
2016
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3096303
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