Acoustic emission noise assessment of loaded members in laboratory and field environments

Tala Shokri, Navid Nemati, Antonio Nanni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The Acoustic Emission (AE) technique plays a progressively significant role in the field of non-destructive testing (NDT) especially in structural health monitoring (SHM). Acoustic emissions are commonly defined as transient elastic waves in a material caused by the of localized stress release. In using AE for structural diagnostics, noise has always been a potential barrier. AE can be produced from sources not related to material damage including traffic or friction. The major challenge is the differentiation of signals relevant to the purpose of the monitoring - such as crack growth in a member - from noise of various origins. This paper deals with noise discrimination and introduces a novel approach for noise interpretation in AE data. AE activities recorded in field and lab environments for concrete and steel specimens are investigated in this study. Approaches for clustering and separation of AE signals based on multiple features extracted from experimental data are presented.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
DOIs
StatePublished - May 15 2012
EventNondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012 - San Diego, CA, United States
Duration: Mar 12 2012Mar 15 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8347
ISSN (Print)0277-786X

Other

OtherNondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012
CountryUnited States
CitySan Diego, CA
Period3/12/123/15/12

Keywords

  • Acoustic emission
  • Noise recognition
  • Structural health monitoring

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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