Analysing method for acoustic emission clustering system on reinforced concrete beam

Acoustic Emission (AE) is a non-destructive testing (NDT) method used for damage detection in structural engineering. Nowadays, NDT is widely used especially on continuous real-time monitoring systems with minimum labour involvement. It could also be used to discriminate the different types of damag...

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Main Author:	Saiful Bahari, Nur Amira Afiza
Format:	Thesis
Language:	English English English
Published:	2018
Subjects:	TA401-492 Materials of engineering and construction Mechanics of materials
Online Access:	http://eprints.uthm.edu.my/355/1/24p%20NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI.pdf http://eprints.uthm.edu.my/355/2/NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/355/3/NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI%20WATERMARK.pdf
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id	my-uthm-ep.355
record_format	uketd_dc
spelling	my-uthm-ep.3552021-07-25T00:58:25Z Analysing method for acoustic emission clustering system on reinforced concrete beam 2018 Saiful Bahari, Nur Amira Afiza TA401-492 Materials of engineering and construction. Mechanics of materials Acoustic Emission (AE) is a non-destructive testing (NDT) method used for damage detection in structural engineering. Nowadays, NDT is widely used especially on continuous real-time monitoring systems with minimum labour involvement. It could also be used to discriminate the different types of damage occurring in reinforced concrete (RC) beam. In spite of these advantages, difficulties still exist in using the AE technique for monitoring applications particularly in analysing recorded AE data due to the large quantity of data involved. Other than that, the main problem associated with data analysis is the discrimination between different AE sources and the analysis of AE signals in order to identify the most critical damage mechanism. Clustering analysis is a technique in which a set of objects are assigned to a group called cluster. The need for effective data analysis in the clustering system can be linked to three main objectives in this research; (1) to determine the type of failure on reinforced concrete beams through the AE system; (2) to identify and discriminate the AE data parameters via crack classification (tensile and shear movement); (3) to verify the crack classification of Rise Amplitude (RA) clustering by using the NI LabVIEW clustering algorithm. Hence, the purpose of this research is to obtain the crack classification by using the RA clustering analysing (RAC) method. It was found that, the result by using RAC analysing method was reliable system to cluster the cracking on RC beam. In addition, these analysing system could use in any different sizing of beam. 2018 Thesis http://eprints.uthm.edu.my/355/ http://eprints.uthm.edu.my/355/1/24p%20NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI.pdf text en public http://eprints.uthm.edu.my/355/2/NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/355/3/NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Civil Engineering and Built Environment
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TA401-492 Materials of engineering and construction Mechanics of materials
spellingShingle	TA401-492 Materials of engineering and construction Mechanics of materials Saiful Bahari, Nur Amira Afiza Analysing method for acoustic emission clustering system on reinforced concrete beam
description	Acoustic Emission (AE) is a non-destructive testing (NDT) method used for damage detection in structural engineering. Nowadays, NDT is widely used especially on continuous real-time monitoring systems with minimum labour involvement. It could also be used to discriminate the different types of damage occurring in reinforced concrete (RC) beam. In spite of these advantages, difficulties still exist in using the AE technique for monitoring applications particularly in analysing recorded AE data due to the large quantity of data involved. Other than that, the main problem associated with data analysis is the discrimination between different AE sources and the analysis of AE signals in order to identify the most critical damage mechanism. Clustering analysis is a technique in which a set of objects are assigned to a group called cluster. The need for effective data analysis in the clustering system can be linked to three main objectives in this research; (1) to determine the type of failure on reinforced concrete beams through the AE system; (2) to identify and discriminate the AE data parameters via crack classification (tensile and shear movement); (3) to verify the crack classification of Rise Amplitude (RA) clustering by using the NI LabVIEW clustering algorithm. Hence, the purpose of this research is to obtain the crack classification by using the RA clustering analysing (RAC) method. It was found that, the result by using RAC analysing method was reliable system to cluster the cracking on RC beam. In addition, these analysing system could use in any different sizing of beam.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Saiful Bahari, Nur Amira Afiza
author_facet	Saiful Bahari, Nur Amira Afiza
author_sort	Saiful Bahari, Nur Amira Afiza
title	Analysing method for acoustic emission clustering system on reinforced concrete beam
title_short	Analysing method for acoustic emission clustering system on reinforced concrete beam
title_full	Analysing method for acoustic emission clustering system on reinforced concrete beam
title_fullStr	Analysing method for acoustic emission clustering system on reinforced concrete beam
title_full_unstemmed	Analysing method for acoustic emission clustering system on reinforced concrete beam
title_sort	analysing method for acoustic emission clustering system on reinforced concrete beam
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Civil Engineering and Built Environment
publishDate	2018
url	http://eprints.uthm.edu.my/355/1/24p%20NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI.pdf http://eprints.uthm.edu.my/355/2/NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/355/3/NUR%20AMIRA%20AFIZA%20SAIFUL%20BAHARI%20WATERMARK.pdf
_version_	1747830590298652672

Analysing method for acoustic emission clustering system on reinforced concrete beam

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