| Autor: |
Saiful Bahari, Nur Amira Afiza, Shahidan, Shahiron, Yusof, Norbazlan Mohd, Ibrahim, Mohd Haziman Wan, Zuki, Sharifah Salwa Mohd |
| Předmět: |
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| Zdroj: |
International Journal of GEOMATE; 2019, Vol. 17 Issue 64, p55-62, 8p |
| Abstrakt: |
This study introduces the use of acoustic emission (AE) monitoring for damage diagnostic is typically challenging due to the difficulties associated with discrimination of AE parameters to analy ze the RA value. The difficulties still exist in using the AE technique for monitoring applications particularly in analy zing recorded AE data due to the large quantity of data involved. In this paper, the RA value clustering (RAC) method was utilized to classify the type of cracking on reinforced concrete beam specimens monitored by AE technique. To verify the crack classification of Ris ing Amplitude clustering (RAC) by using the NI LabVIEW clustering algorithm. Hence, the purpose of this research is to obtain the crack classification by using the RA clustering analyzing (RAC) method. It was found that the result by using (RAC) analyzing method was the reliable system to cluster the cracking on the RC beam. In addition, these analyzing system could use in many different sizing of the beam. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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