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In civil engineering construction, the reinforced concrete (RC) structure is generally used and exposed to fatigue loading as it is in service. The assessment of the RC structure is required to maintain the service life of the structure.

This paper presents the behaviour of RC beam specimens under increasing maximum fatigue loading until failure. Simultaneously the acoustic emission (AE) was recorded. Twelve phases of maximum fatigue loading at Stage 1 and Stage 2 were applied to the beam with the frequency of 1 Hz and 5,000 load cycles were applied for each load phase. Two AE parameters were analysed and discussed, namely average frequency and rise angle value at CH4 and CH5.

The results found that the load and crack are closely related to the AE activities in the RC beam specimen when subjected to increasing fatigue loading.

To investigate the AE characteristics of RC beam specimens subjected to 12 phases of maximum fatigue loading using the average frequency and rise angle value.

The purpose of this paper is to present the investigation of damage severity of reinforced concrete (RC) beam subjected to increasing fatigue loading using intensity of acoustic emission (AE) signal.

Together 17 RC beams with dimension of 150 × 150 × 750 mm were prepared. Third point loading fatigue test was performed based on load at the first crack (Pcr) and the ultimate static load (Pult). The frequency of 1 Hz was used with the increasing fatigue loadings, 0.5Pcr (P1), 0.8Pcr (P2), 1.0Pcr (P3), 0.2Pult (P4), 0.5Pult (P5) and 0.6Pult (P6). The damage severity of crack for each phase of loading allowed the identification of the crack modes of the beams, namely, Zone A (no significant emission), Zone B (minor), Zone C (intermediate), Zone D (follow-up) and Zone E (major).

The intensity analysis indicated clear trend with respect to crack propagation in the beam and, hence, can be used to monitor the crack occurrence in the beam.

The intensity analysis has been carried out for the beam subjected to increasing fatigue loading. The analysis was based on the AE data obtained from channel basis and located event.