Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis

Christian U. Grosse; Florian Finck; Jochen H. Kurz; Hans W. Reinhardt

doi:10.1016/j.conbuildmat.2003.10.010

Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis

Christian U. Grosse, Florian Finck, Jochen H. Kurz, Hans W. Reinhardt

Universität Stuttgart

Research output: Contribution to journal › Article › peer-review

82 Scopus citations

Abstract

Acoustic emission technique (AET) is a useful method for the investigation of local damages in materials. One of the advantages compared to other techniques is the recording of the damage process during the entire load history without any disturbance on the specimen. To apply more sophisticated analysis procedures such as fault-plane solution or moment tensor inversion methods AET is to be used in a quantitative way for recording acoustic emission waveforms of signals with at least six sensors. Several methods to enhance the quality of such recordings or to improve the data analysis are presented.

Original language	English
Pages (from-to)	203-213
Number of pages	11
Journal	Construction and Building Materials
Volume	18
Issue number	3
DOIs	https://doi.org/10.1016/j.conbuildmat.2003.10.010
State	Published - Apr 2004
Externally published	Yes

Keywords

Acoustic emission
Coherence
Concrete
Fracture mechanics
Wavelets

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10.1016/j.conbuildmat.2003.10.010

Cite this

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title = "Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis",

abstract = "Acoustic emission technique (AET) is a useful method for the investigation of local damages in materials. One of the advantages compared to other techniques is the recording of the damage process during the entire load history without any disturbance on the specimen. To apply more sophisticated analysis procedures such as fault-plane solution or moment tensor inversion methods AET is to be used in a quantitative way for recording acoustic emission waveforms of signals with at least six sensors. Several methods to enhance the quality of such recordings or to improve the data analysis are presented.",

keywords = "Acoustic emission, Coherence, Concrete, Fracture mechanics, Wavelets",

author = "Grosse, {Christian U.} and Florian Finck and Kurz, {Jochen H.} and Reinhardt, {Hans W.}",

note = "Funding Information: This work was partly financially supported by the Deutsche Forschungsgemeinschaft (DFG) via the collaborative research project {\textquoteleft}Sonderforschungsbereich{\textquoteright} SFB381.",

year = "2004",

month = apr,

doi = "10.1016/j.conbuildmat.2003.10.010",

language = "English",

volume = "18",

pages = "203--213",

journal = "Construction and Building Materials",

issn = "0950-0618",

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T1 - Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis

AU - Grosse, Christian U.

AU - Finck, Florian

AU - Kurz, Jochen H.

AU - Reinhardt, Hans W.

N1 - Funding Information: This work was partly financially supported by the Deutsche Forschungsgemeinschaft (DFG) via the collaborative research project ‘Sonderforschungsbereich’ SFB381.

PY - 2004/4

Y1 - 2004/4

N2 - Acoustic emission technique (AET) is a useful method for the investigation of local damages in materials. One of the advantages compared to other techniques is the recording of the damage process during the entire load history without any disturbance on the specimen. To apply more sophisticated analysis procedures such as fault-plane solution or moment tensor inversion methods AET is to be used in a quantitative way for recording acoustic emission waveforms of signals with at least six sensors. Several methods to enhance the quality of such recordings or to improve the data analysis are presented.

AB - Acoustic emission technique (AET) is a useful method for the investigation of local damages in materials. One of the advantages compared to other techniques is the recording of the damage process during the entire load history without any disturbance on the specimen. To apply more sophisticated analysis procedures such as fault-plane solution or moment tensor inversion methods AET is to be used in a quantitative way for recording acoustic emission waveforms of signals with at least six sensors. Several methods to enhance the quality of such recordings or to improve the data analysis are presented.

KW - Acoustic emission

KW - Coherence

KW - Concrete

KW - Fracture mechanics

KW - Wavelets

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M3 - Article

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SN - 0950-0618

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SP - 203

EP - 213

JO - Construction and Building Materials

JF - Construction and Building Materials

IS - 3

ER -

Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis

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Keywords

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