Acoustic emission signal for fatigue crack classification on reinforced concrete beam

Fatigue crack classification on reinforced concrete beam is significantly vital. Acoustic emission (AE) signals were analysed to identify the classes of reinforced concrete (RC) beam corresponding to a specific crack mode. Third point loading fatigue test was carried out based on various range of ma...

Full description

Bibliographic Details
Published in:Construction and Building Materials
Main Author: Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Mohd Saman H.
Format: Article
Language:English
Published: 2013
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884775554&doi=10.1016%2fj.conbuildmat.2013.08.057&partnerID=40&md5=20295e6f892709350dacfeb32558c3cb
id 2-s2.0-84884775554
spelling 2-s2.0-84884775554
Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Mohd Saman H.
Acoustic emission signal for fatigue crack classification on reinforced concrete beam
2013
Construction and Building Materials
49

10.1016/j.conbuildmat.2013.08.057
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884775554&doi=10.1016%2fj.conbuildmat.2013.08.057&partnerID=40&md5=20295e6f892709350dacfeb32558c3cb
Fatigue crack classification on reinforced concrete beam is significantly vital. Acoustic emission (AE) signals were analysed to identify the classes of reinforced concrete (RC) beam corresponding to a specific crack mode. Third point loading fatigue test was carried out based on various range of maximum fatigue loading. The classification of crack for each phase of loading allowed the identification of the cracks mode of the beam namely tensile crack and shear crack. Average frequency and RA value were computed corresponding to channel basis and located event of AE signal and used to classify fatigue crack. The relationship between average frequency and RA value indicated clear trend with respect to crack classifications. Using this relationship trend, estimation of the crack monitoring can be made. © 2013 Elsevier B.V. All rights reserved.

9500618
English
Article

author Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Mohd Saman H.
spellingShingle Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Mohd Saman H.
Acoustic emission signal for fatigue crack classification on reinforced concrete beam
author_facet Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Mohd Saman H.
author_sort Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Mohd Saman H.
title Acoustic emission signal for fatigue crack classification on reinforced concrete beam
title_short Acoustic emission signal for fatigue crack classification on reinforced concrete beam
title_full Acoustic emission signal for fatigue crack classification on reinforced concrete beam
title_fullStr Acoustic emission signal for fatigue crack classification on reinforced concrete beam
title_full_unstemmed Acoustic emission signal for fatigue crack classification on reinforced concrete beam
title_sort Acoustic emission signal for fatigue crack classification on reinforced concrete beam
publishDate 2013
container_title Construction and Building Materials
container_volume 49
container_issue
doi_str_mv 10.1016/j.conbuildmat.2013.08.057
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884775554&doi=10.1016%2fj.conbuildmat.2013.08.057&partnerID=40&md5=20295e6f892709350dacfeb32558c3cb
description Fatigue crack classification on reinforced concrete beam is significantly vital. Acoustic emission (AE) signals were analysed to identify the classes of reinforced concrete (RC) beam corresponding to a specific crack mode. Third point loading fatigue test was carried out based on various range of maximum fatigue loading. The classification of crack for each phase of loading allowed the identification of the cracks mode of the beam namely tensile crack and shear crack. Average frequency and RA value were computed corresponding to channel basis and located event of AE signal and used to classify fatigue crack. The relationship between average frequency and RA value indicated clear trend with respect to crack classifications. Using this relationship trend, estimation of the crack monitoring can be made. © 2013 Elsevier B.V. All rights reserved.
publisher
issn 9500618
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1809677610382262272