RA CLUSTERING (RAC) METHOD FOR ACOUSTIC EMISSION SYSTEM ON CONCRETE STRUCTURE

Abstract

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 analyze the RA value. The difficulties still exist in using the AE technique for monitoring applications particularly in analyzing 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 Rising 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.