Damage classification in reinforced concrete beam by acoustic emission signal analysis
Structural health monitoring (SHM) is known as assessment on damage detection in structural engineering. Nowadays, the application of SHM has been widely used especially on the continuous real time monitoring system with minimum labour involvement. One of the most excellent tools in SHM for re...
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my-uthm-ep.12762021-09-30T07:00:35Z Damage classification in reinforced concrete beam by acoustic emission signal analysis 2014-02 Shahidan, Shahiron TA Engineering (General). Civil engineering (General) Structural health monitoring (SHM) is known as assessment on damage detection in structural engineering. Nowadays, the application of SHM has been widely used especially on the continuous real time monitoring system with minimum labour involvement. One of the most excellent tools in SHM for real time monitoring system is Acoustic emission (AE). AE waves are high frequency stress wave generated by rapid release of energy from localised sources with a material, such as crack initiation and growth. High sensitivity to crack growth, the ability to locate source, passive nature and the possibility to perform real time monitoring are some of the attractive features of AE technique. In spite of these advantages, challenges still exist in using AE technique for monitoring applications especially in analysing recorded AE data as large volume of data are usually generated during monitoring. The need for effective data analysis in grading system can be linked into the three main objective of this research; (a) determine the grading system; (b) identify and discriminate the AE data parameter ; (c) and validate a new standard grading system for severity assessment. In this research, cyclic load test (CLT) method is the first method used for this evaluation system. This is a relatively new method that may provide a good insight into structural integrity status and also collaborates with the AE evaluation system. In the evaluation of AE data parameters, the conventional method known as parameter analysis (PA) was used to evaluate the reinforced concrete (RC) structure. This study has proposed and tested the absolute energy parameter in the evaluation for determining the damage level in RC structure. In addition, the cracks patterns in RC beam have been identified according to the type of cracking process and the cracks classifications by using the AE data parameters mainly AE amplitude, rise time, and average frequency. These data parameters have been analysed by using the statistical methods of b-value and RA value analysis. Quantification tool to assess the severity of the damage is extensively described in the practice applications. Even though different damage quantification methods have been proposed in AE technique, not all achieved universal approval or suitable for all situations. The IEA and ISA methods that involved the absolute energy and signal strength parameter were investigated for determining the damage level in RC structure. This was found to provide encouraging result for the analysis of AE data parameters in determining the damage grading system. By addressing this primary issue, it is believed that this thesis has helped to improve the effectiveness of AE technique for SHM in civil engineering. 2014-02 Thesis http://eprints.uthm.edu.my/1276/ http://eprints.uthm.edu.my/1276/1/24p%20SHAHIRON%20SHAHIDAN.pdf text en public phd doctoral Universiti Sains Malaysia Sekolah Kejuruteraan Awam |
| institution |
Universiti Tun Hussein Onn Malaysia |
| collection |
UTHM Institutional Repository |
| language |
English |
| topic |
TA Engineering (General) Civil engineering (General) |
| spellingShingle |
TA Engineering (General) Civil engineering (General) Shahidan, Shahiron Damage classification in reinforced concrete beam by acoustic emission signal analysis |
| description |
Structural health monitoring (SHM) is known as assessment on damage detection in
structural engineering. Nowadays, the application of SHM has been widely used
especially on the continuous real time monitoring system with minimum labour
involvement. One of the most excellent tools in SHM for real time monitoring
system is Acoustic emission (AE). AE waves are high frequency stress wave
generated by rapid release of energy from localised sources with a material, such as
crack initiation and growth. High sensitivity to crack growth, the ability to locate
source, passive nature and the possibility to perform real time monitoring are some
of the attractive features of AE technique. In spite of these advantages, challenges
still exist in using AE technique for monitoring applications especially in analysing
recorded AE data as large volume of data are usually generated during monitoring.
The need for effective data analysis in grading system can be linked into the three
main objective of this research; (a) determine the grading system; (b) identify and
discriminate the AE data parameter ; (c) and validate a new standard grading system
for severity assessment. In this research, cyclic load test (CLT) method is the first
method used for this evaluation system. This is a relatively new method that may
provide a good insight into structural integrity status and also collaborates with the
AE evaluation system. In the evaluation of AE data parameters, the conventional
method known as parameter analysis (PA) was used to evaluate the reinforced
concrete (RC) structure. This study has proposed and tested the absolute energy
parameter in the evaluation for determining the damage level in RC structure. In
addition, the cracks patterns in RC beam have been identified according to the type of cracking process and the cracks classifications by using the AE data parameters
mainly AE amplitude, rise time, and average frequency. These data parameters have
been analysed by using the statistical methods of b-value and RA value analysis.
Quantification tool to assess the severity of the damage is extensively described in
the practice applications. Even though different damage quantification methods have
been proposed in AE technique, not all achieved universal approval or suitable for all
situations. The IEA and ISA methods that involved the absolute energy and signal
strength parameter were investigated for determining the damage level in RC
structure. This was found to provide encouraging result for the analysis of AE data
parameters in determining the damage grading system. By addressing this primary
issue, it is believed that this thesis has helped to improve the effectiveness of AE
technique for SHM in civil engineering. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Shahidan, Shahiron |
| author_facet |
Shahidan, Shahiron |
| author_sort |
Shahidan, Shahiron |
| title |
Damage classification in reinforced concrete beam by acoustic emission signal analysis |
| title_short |
Damage classification in reinforced concrete beam by acoustic emission signal analysis |
| title_full |
Damage classification in reinforced concrete beam by acoustic emission signal analysis |
| title_fullStr |
Damage classification in reinforced concrete beam by acoustic emission signal analysis |
| title_full_unstemmed |
Damage classification in reinforced concrete beam by acoustic emission signal analysis |
| title_sort |
damage classification in reinforced concrete beam by acoustic emission signal analysis |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Sekolah Kejuruteraan Awam |
| publishDate |
2014 |
| url |
http://eprints.uthm.edu.my/1276/1/24p%20SHAHIRON%20SHAHIDAN.pdf |
| _version_ |
1747830761620242432 |